Project – Algorithmic Visibility and the Changing Economics of Local Journalism in the Social Media Era

CHAPTER ONE

INTRODUCTION

1.1 Background to the Study

Journalism has historically performed a central function in society by gathering, verifying, interpreting and disseminating information that enables citizens to understand events within their communities and make informed social, economic and political decisions. Local journalism is particularly important because it brings public attention to issues that occur within specific geographical communities, including local government activities, community development, crime, education, health, transportation, environmental problems, markets, politics and the activities of local institutions. In this sense, local journalism serves not merely as a commercial enterprise but also as an important component of community communication, accountability and democratic participation.

For much of the twentieth century, the economics of journalism was built around relatively stable relationships among publishers, audiences and advertisers. Newspapers, radio and television organisations generally controlled the production and distribution of news and possessed considerable influence over how audiences encountered information. Advertising represented an important source of revenue, while circulation, subscriptions, sponsorship and other commercial arrangements supplemented income. The rise of the internet, however, fundamentally altered this arrangement by reducing distribution costs, increasing the number of information providers and weakening the traditional gatekeeping power of news organisations.

The emergence of digital journalism transformed the news industry by allowing news organisations to publish continuously rather than according to fixed print or broadcast schedules. News could be updated immediately, distributed across websites and accessed through computers and mobile phones. Digital journalism also created new possibilities for audience interaction because readers could comment, share, recommend and discuss stories. Consequently, journalism moved from a predominantly one-way model of mass communication toward a more interactive, networked and participatory environment.

The economic consequences of this transformation have been profound. Grueskin, Seave and Graves (2011) observed that the digital environment transformed the economics of journalism through changes in audience behaviour, distribution, advertising, aggregation and cost structures. They also noted that large digital audiences did not necessarily translate into proportionately large advertising revenues. This distinction remains important because a news organisation may attract substantial online attention while generating relatively limited revenue from that attention.

The development of social media introduced another major transformation. Platforms such as Facebook, YouTube, Instagram, X and, increasingly, TikTok became important channels through which audiences encounter news. Instead of visiting a newspaper or news website directly, users increasingly receive news through feeds, recommendations, search results, notifications, videos and links distributed by digital platforms. This has altered the relationship between journalists and audiences because news organisations no longer exercise complete control over the distribution and visibility of their content.

Bell and Owen (2017) describe this transformation as the emergence of a “platform press” in which technology companies increasingly perform functions that were previously controlled by publishers. Their analysis argues that companies such as Facebook, Google, Twitter and Snapchat evolved beyond being simple distribution channels and acquired substantial influence over what audiences see, how content is distributed and what forms of journalism receive attention. This development created new opportunities for publishers to reach audiences while simultaneously making news organisations more dependent on external platforms.

This transformation provides the context for the concept of algorithmic visibility. In the traditional media environment, visibility was largely determined by editorial decisions. Editors selected which stories appeared on the front page, which stories received headlines, which reports were broadcast prominently and which stories received limited attention. In the social-media environment, however, visibility is increasingly influenced by computational systems that rank, recommend and personalise content. Algorithms use various signals relating to user behaviour, engagement, interests, relationships and other characteristics to determine what content is presented to particular users.

Algorithmic visibility therefore refers to the extent to which journalistic content is made visible, discoverable and accessible to audiences through algorithmically mediated systems such as search engines, social-media feeds, recommendation systems and video platforms. Visibility is important because content that is not seen cannot easily generate readership, engagement, advertising impressions, subscriptions, donations or other forms of economic return.

The significance of algorithmic visibility has increased as audiences have become more dependent on social and video platforms for news. The Reuters Institute’s Digital News Report 2025 documented an accelerating shift from traditional news sources toward social media and video platforms. Across its 48 markets, consumption of social video increased from 52% in 2020 to 65% in 2025, while consumption of any online video increased from 67% to 75%. The report also observed the growing influence of creators and personalities in news distribution.

The implications are especially significant for younger audiences. Digital and social natives increasingly encounter news through platforms rather than directly through news organisations’ websites or print editions. The result is a shift in the location of news consumption from the publisher-controlled environment to platform-controlled environments. This means that journalists and news organisations increasingly need to understand not only what constitutes newsworthiness but also what kinds of content are likely to be distributed, recommended, shared and engaged with within particular digital environments.

The 2025 Reuters Institute report describes this development as a “platform reset,” noting that changes in the strategies of technology platforms have made it more difficult for publishers to consistently reach audiences. Meta’s changing approach to news and its increased emphasis on video and creator content are particularly relevant because they demonstrate how a platform’s strategic decisions can affect the visibility and traffic of news publishers.

This dependence introduces a fundamental economic problem for journalism. News organisations invest resources in reporting, investigation, editing, photography, video production, fact-checking and distribution. Yet, a significant portion of the audience may encounter the resulting content through platforms that capture advertising revenue and control access to user attention. Ramírez (2021), drawing on the attention-economy perspective, argues that platforms such as Facebook and Google occupy a central position in the distribution of news and the capture of audience attention, thereby affecting the advertising-based business model of news organisations.

The attention economy is particularly relevant to understanding contemporary journalism. Attention is a scarce resource because individuals have limited time and cannot consume all available information. Consequently, news organisations compete not simply to produce information but to attract, retain and monetise audience attention. Nixon (2020) argues that the business of news can be understood through the struggle to gain power over audience attention and transform that attention into economic value through advertising, subscriptions and other revenue mechanisms.

Within social media, audience attention is increasingly measured through indicators such as likes, comments, shares, views, watch time, clicks, reposts, followers and other engagement metrics. These metrics have consequently become important to journalists and editors because they provide immediate feedback concerning audience response. Ferrucci (2018), based on interviews with 53 digital journalists, found that social media influences news production through the interaction of journalists, audiences, opinion leaders and other external actors. This demonstrates that social media do not simply distribute already-produced journalism; they can also influence decisions concerning what journalists produce and how they produce it.

The economic significance of social-media traffic, however, is complicated. Myllylahti (2018) examined the relationship between Facebook traffic and revenue in four news companies and found that social media could generate substantial traffic without producing a proportionate level of revenue. In the companies studied, social media accounted for 24% of total traffic, but revenue attributable to social-media traffic was considerably smaller. The study concluded that publishers could become trapped in an attention economy in which they depend on platforms for audience access without obtaining equivalent economic benefits.

This creates what may be described as the visibility-value paradox. High visibility can increase audience reach, brand recognition and influence, but visibility does not automatically produce sustainable revenue. A story may receive thousands of views or shares without generating sufficient advertising income to cover the cost of reporting it. Similarly, a journalist may have a large social-media following without receiving a stable income from journalism. The economic value of visibility therefore depends on the ability of the news organisation or journalist to convert audience attention into sustainable revenue.

This problem is particularly relevant to local journalism. Local news organisations often operate with smaller audiences, smaller advertising markets and fewer financial resources than national media organisations. They may lack the technological infrastructure, marketing capacity and financial reserves required to withstand sudden changes in platform algorithms. Consequently, changes in platform distribution can have disproportionate effects on smaller publishers.

The 2025 Reuters Institute report highlighted growing concern about the future of local news. Although audiences continue to express interest in local information, digital platforms and specialist applications are increasingly perceived as better sources for certain forms of local information, including activities, culture, transportation, weather and buying and selling. Traditional local media remain particularly important for local politics, local news stories and public notices, but they face increasing competition from platforms and alternative information providers.

The challenge is even more complex because local journalists now compete with citizen journalists, bloggers, influencers, social-media personalities and community-based information pages. These actors can often publish information more quickly because they may not follow the same editorial procedures as professional news organisations. A citizen may post a video of an incident within minutes, while a professional journalist may need to verify the information, contact sources, obtain photographs and prepare a report. The professional journalist therefore faces a tension between speed and verification.

The economic consequences of this environment may encourage news organisations to prioritise stories that generate immediate engagement. News that is sensational, emotional, controversial, conflict-oriented or visually attractive may perform better on social platforms than complex stories requiring substantial investigation. This creates concerns about whether algorithmically mediated visibility can influence journalistic priorities and gradually reshape the type of journalism that is economically sustainable.

Recent scholarship has explicitly identified this tension. Research on algorithmic and platform-driven journalism suggests that platformisation shifts control of content distribution, audience engagement and monetisation toward technology companies. Where newsroom survival depends heavily on platform engagement, editorial decisions may become increasingly influenced by the perceived requirements of platform visibility.

The economic dimension of this problem is not limited to advertising. Digital news organisations have experimented with subscriptions, memberships, donations, sponsored content, branded content, events, crowdfunding, grants, partnerships, video monetisation and other forms of revenue diversification. However, the viability of these models varies across markets. The Reuters Institute’s 2025 report found that digital subscription growth remained difficult even in richer markets, illustrating the broader challenge of persuading audiences to directly pay for online news.

The Nigerian media environment demonstrates many of these global trends while also possessing distinctive characteristics. Nigeria has one of Africa’s largest and most vibrant media markets, comprising public and private broadcasters, newspapers, digital-native publishers, blogs, online platforms and social-media-based news producers. The Reuters Institute’s 2026 country report describes Nigeria’s media environment as highly digital and increasingly shaped by social-media use, economic pressures, platform dominance and experimentation with artificial intelligence.

The Nigerian digital news audience is increasingly platform-oriented. According to the Reuters Institute’s 2025 Nigeria report, Facebook was used for news by 65% of its Nigerian survey sample, while YouTube and X each reached 49%; WhatsApp remained important at 53%. The report also notes that influencers and citizen journalists frequently break stories before mainstream media organisations.

These developments have important implications for Nigerian journalism. If audiences increasingly encounter news through social platforms, news organisations must compete not only with other publishers but also with influencers, creators, citizen journalists and platform-native content. The journalist is therefore operating in an environment in which professional credibility competes with immediacy, personality, entertainment and algorithmically rewarded engagement.

At the same time, Nigerian media organisations face significant economic pressures. The Reuters Institute reports rising operational costs, declining advertising revenues, reduced donor funding and fluctuating exchange rates. It further notes that digital media platforms in Nigeria generate lower advertising revenues than traditional platforms such as television and print and that changes in Google’s search algorithms have contributed to financial pressures on Nigerian news organisations.

The 2026 Reuters Institute report similarly identifies declining advertising revenue, unsustainable operating costs and the growing influence of Big Tech platforms as major concerns for the Nigerian media industry. It notes that Nigerian publishers are concerned about losing advertising revenue and web traffic to technology platforms, while also raising questions about the use of news content in artificial-intelligence systems.

This situation suggests that the Nigerian journalist’s economic position is increasingly connected to visibility. Visibility may influence advertising attractiveness, audience size, sponsorship opportunities, professional reputation and the perceived value of individual journalists. However, the connection between visibility and economic sustainability remains uncertain.

For journalists, algorithmic visibility may also affect employment and professional practice. Newsrooms may expect journalists to produce content for multiple platforms, create videos, write search-optimised headlines, monitor engagement metrics, respond to audience comments and maintain social-media accounts in addition to conventional reporting responsibilities. This increases the range of skills expected from journalists and may intensify work pressure.

The changing economics of journalism may also affect editorial independence. When media organisations depend heavily on advertising, sponsored content, platform traffic or external funding, economic pressures can potentially influence decisions concerning story selection, publication frequency and content formats. The problem becomes particularly sensitive in local journalism where the available advertising market may be small and journalists may depend heavily on relationships with local political and commercial actors.

The economic pressure created by platformisation is therefore not merely a question of whether news organisations make more or less money. It also concerns the conditions under which journalism is produced. If revenue becomes increasingly linked to audience metrics, journalists may be encouraged to produce content that maximises clicks and engagement. If visibility becomes dependent on opaque algorithms, journalists may attempt to anticipate platform preferences even without knowing exactly how the algorithms operate.

The emergence of video platforms has intensified this development. The Reuters Institute’s 2025 findings show that social video consumption has expanded significantly, while platforms such as TikTok, YouTube and Instagram have increased their importance for news. These platforms favour visually engaging and easily consumable content and have contributed to the growth of personality-led news.

This development is significant for local journalism in Benin City. Benin City is the capital of Edo State and an important administrative, commercial, educational and cultural centre in southern Nigeria. Local residents require timely information about state and local government policies, political activities, roads and transportation, education, health services, crime, business, markets, environmental issues and community development. Online news platforms operating in and around the city have become important channels for reporting these issues.

The digital environment has also lowered entry barriers for local news production in Benin City. A journalist with a smartphone, internet connection and social-media account can publish information without requiring the printing infrastructure, broadcast licence or distribution network traditionally associated with mainstream media. Digital-native platforms can therefore respond rapidly to local events and potentially serve communities that may not receive sufficient attention from national media.

However, lower barriers to entry do not necessarily guarantee economic sustainability. A local online news platform may attract significant traffic but still struggle to generate adequate revenue. It may depend on banner advertisements, sponsored posts, political advertising, public-relations contracts, subscriptions, donations, event coverage or personal contributions. Changes in platform algorithms may further affect traffic and advertising opportunities.

The problem is particularly important because local journalism often covers issues that have limited commercial appeal but significant public value. Investigative reports on local government accountability, environmental degradation, corruption, public infrastructure, community disputes or institutional failures may require considerable time and resources while generating less immediate engagement than celebrity stories, political controversies or sensational crime reports. If algorithmic visibility becomes a major determinant of economic survival, public-interest journalism may be placed under economic pressure.

Recent research has directly linked algorithmic and social-media monetisation pressures to investigative and local journalism. A 2025 study on local media argues that platformisation can shift newsroom incentives toward engagement optimisation and monetisation, potentially favouring emotionally charged and viral content over slower, resource-intensive investigative journalism.

This raises an important question concerning the meaning of success for local online journalism. Is success simply the number of followers? Is it the number of views, likes and shares? Is it advertising income? Is it the ability to employ journalists? Is it the production of credible public-interest journalism? Or should success be understood as a combination of audience reach, economic sustainability, professional quality and public value?

The present study approaches algorithmic visibility as an important economic and professional variable within this changing environment. The study recognises that algorithms themselves are not the only determinants of news visibility. Editorial choices, headline writing, story timing, audience behaviour, platform policies, search-engine optimisation, social-media promotion, journalist networks and the broader news environment can all influence visibility. Nevertheless, the growing role of platform recommendation and ranking systems makes algorithmic visibility an important subject for empirical investigation.

The significance of studying Benin City lies in the need to understand how global transformations in digital journalism are experienced within a specific Nigerian local media environment. Much of the existing literature on platformisation and journalism has focused on major international media markets, while research specifically examining the intersection of algorithmic visibility, local journalism and economic sustainability at the city level in Nigeria remains limited.

The present study therefore focuses on selected online news platforms and journalists in Benin City, Edo State. It seeks to investigate how social-media and algorithmic visibility influence audience reach, content strategies, revenue opportunities, workload and the broader economics of local journalism. The study is also concerned with whether increasing visibility translates into sustainable economic value for journalists and online news organisations.

Ultimately, the study is situated within the broader transformation of journalism from a publisher-controlled system toward a platform-mediated information environment. In this environment, the ability to produce news remains essential, but the ability to make that news visible to audiences has become equally important. The central economic challenge is that the platforms that provide visibility may also control the audience data, advertising systems and distribution mechanisms through which that visibility is monetised.

The study therefore investigates Algorithmic Visibility and the Changing Economics of Local Journalism in the Social Media Era: A Study of Selected Online News Platforms and Journalists in Benin City, Edo State. By examining the experiences of local digital news organisations and journalists, the study seeks to provide empirical evidence concerning how algorithmic visibility is shaping journalism’s audience, revenue, editorial practices and sustainability within the Nigerian local-media environment.

1.2 Statement of the Problem

The economics of journalism has undergone substantial transformation as news audiences migrate from traditional media toward digital and social-media platforms. In the traditional media environment, newspapers, radio and television organisations maintained comparatively greater control over the production, distribution and monetisation of their content. In the contemporary digital environment, however, technology platforms increasingly mediate the relationship between news organisations and audiences. The result is a situation in which news organisations may produce the content while external platforms influence whether, when and to whom that content becomes visible.

This transformation creates a fundamental economic problem for local journalism. The production of credible journalism requires financial resources for journalists’ salaries, transportation, data, equipment, reporting, editing, photography, video production, verification and administrative operations. Yet, the economic returns from digital visibility may not correspond to the resources invested in producing the content.

The problem is intensified by the increasing importance of algorithmic systems in determining content visibility. A journalist may publish a well-researched story, but the story may receive limited exposure if it is not prominently recommended, searched, shared or distributed by digital platforms. Conversely, a less substantive story may receive substantial attention because it generates comments, shares, reactions or viewing time. This creates uncertainty about whether editorial quality alone is sufficient to secure audience attention in the contemporary digital environment.

The Reuters Institute’s 2025 global findings demonstrate the scale of this transformation. Social-video news consumption increased from 52% in 2020 to 65% in 2025, while traditional news organisations faced declining engagement and increasing competition from creators, influencers and alternative media.

In Nigeria, the problem is particularly pronounced because the media market is increasingly digital while news organisations simultaneously face rising operating costs and declining advertising revenues. The Reuters Institute reports that Nigerian media rely heavily on advertising for online monetisation and that changes to Google’s search algorithms have placed additional pressure on revenue and financial stability.

This creates a paradox for Nigerian online news organisations. Digital platforms provide access to large audiences and enable relatively inexpensive distribution, yet the same platforms can weaken the ability of publishers to convert audience attention into sustainable revenue. A publisher may therefore experience increased visibility without corresponding economic improvement.

The problem is also reflected in the wider literature. Myllylahti (2018) found that although social media could provide a substantial proportion of traffic to news organisations, the revenue directly generated by that traffic could remain very small. This indicates that traffic and visibility should not automatically be equated with economic sustainability.

For local news organisations, the situation may be even more difficult. National media organisations can potentially attract large audiences across several regions and may have greater advertising, subscription and sponsorship opportunities. Local online news platforms, by contrast, depend heavily on smaller geographical audiences. Their ability to sustain professional journalism may therefore depend on successfully converting limited local attention into advertising, sponsorship, subscriptions, donations or other forms of economic support.

Another major problem is the emergence of citizen journalism and social-media influencers. In Nigeria, the Reuters Institute reported that influencers and citizen journalists frequently break stories before mainstream media organisations. This creates competitive pressure on professional journalists because speed and visibility can become more important than traditional newsroom processes of verification and editorial review.

Professional journalists in Benin City may consequently face pressure to produce stories rapidly and distribute them across multiple social platforms. They may also need to write headlines and captions that encourage clicks, produce short-form videos, respond to comments and monitor engagement statistics. These additional responsibilities can increase workload while not necessarily producing corresponding increases in income.

The economic pressure may also influence the type of journalism that receives attention. Stories involving controversy, crime, politics, celebrities, emotional incidents or conflict may attract more immediate engagement than investigations into complex public policy issues. Consequently, a newsroom that depends heavily on platform traffic may face incentives to prioritise highly engaging content over slower forms of investigative and developmental journalism.

This is particularly problematic for local journalism because some of the most socially valuable stories are not necessarily the most commercially attractive. Reports on local government budgets, public procurement, environmental conditions, public health, education policy or infrastructure projects may require extensive investigation but may attract less immediate engagement than sensational stories. If algorithmic visibility determines economic returns, public-interest journalism may become economically disadvantaged.

There is also a problem of uncertainty. Algorithms used by major platforms are often proprietary and continuously modified. Publishers and journalists may therefore have limited ability to predict exactly why one story receives extensive visibility while another receives little attention. The 2025 Reuters Institute report documented continuing changes in platform strategies and their implications for publishers’ ability to reach audiences.

Such uncertainty may produce what can be described as algorithmic dependency. News organisations may become dependent on platforms to reach audiences while having limited control over the rules governing distribution. Bell and Owen (2017) observed that platforms increasingly determine what audiences see and what types of journalism flourish, raising questions about the long-term economic and editorial implications of this relationship.

The issue extends beyond organisational revenue to the economic welfare of individual journalists. Journalists may have substantial online visibility without enjoying stable employment, adequate salaries or predictable professional income. Some may supplement journalism with freelance work, public-relations activities, sponsored content, personal social-media monetisation or other occupations. The relationship between audience visibility and journalists’ economic wellbeing therefore remains unclear.

Furthermore, there is limited empirical evidence specifically examining this relationship within Benin City. While international research has examined algorithmic distribution, platform dependence, attention economics and digital revenue models, and Nigerian research has increasingly documented the transformation of the national media environment, there remains insufficient local evidence on how journalists and online news platforms in Benin City experience algorithmic visibility and its economic consequences.

This contextual gap is significant because media systems do not experience digital transformation uniformly. The economics of a major national news organisation may differ substantially from that of a local digital platform operating within Benin City. Local advertising markets, audience characteristics, political relationships, internet access, journalist networks, platform use and available revenue sources can produce different outcomes.

There is also a conceptual gap between visibility and economic value. Much of the contemporary discussion of digital journalism assumes that greater visibility is beneficial. However, visibility may be valuable only when it can be translated into sustainable audience relationships and financial resources. A platform may receive millions of impressions while generating insufficient revenue to support professional reporting. Conversely, a smaller but loyal audience may generate more sustainable income through subscriptions, memberships, sponsorships or direct advertising.

The problem, therefore, is not simply that social media have changed journalism. The more fundamental problem is that the mechanisms through which audiences discover news are increasingly controlled by platforms whose economic interests may not always align with the public-service objectives of local journalism.

For journalists and news organisations in Benin City, this may result in several interconnected challenges: dependence on social-media platforms for audience reach; uncertainty about algorithmic changes; pressure to create engagement-oriented content; difficulty converting visibility into revenue; declining or unstable advertising income; increased workload; competition from influencers and citizen journalists; and potential tension between commercial performance and professional journalistic values.

These challenges raise important questions that have not been sufficiently answered within the local context. To what extent does algorithmic visibility influence the reach of online news platforms in Benin City? Does increased social-media visibility translate into increased advertising and other revenue? How do journalists modify their reporting practices in response to platform algorithms? Does the pursuit of engagement affect the selection and presentation of local news? What revenue strategies are available to local online news organisations? And does algorithmic visibility ultimately strengthen or weaken the economic sustainability of local journalism?

The absence of answers to these questions represents a significant research problem. Without empirical evidence, media managers may make decisions about social-media strategies based largely on assumptions concerning likes, views and followers rather than actual economic returns. Journalists may also be encouraged to pursue visibility without knowing whether it improves their professional or financial circumstances.

The study therefore seeks to address this gap by examining selected online news platforms and journalists in Benin City, Edo State. It will investigate the relationship between algorithmic visibility and audience reach, the influence of visibility on revenue generation and the ways social-media algorithms shape journalistic practices and the economics of local news production.

The central problem addressed by this study can consequently be stated as follows:

Despite the growing dependence of local journalism on social-media and algorithmically mediated distribution, there is insufficient empirical evidence concerning whether increased algorithmic visibility translates into sustainable economic benefits for online news platforms and journalists in Benin City, Edo State. At the same time, the pressure to achieve visibility may influence content choices, journalistic routines, workload and professional priorities. The extent and nature of these economic and professional effects remain insufficiently established.

It is this problem that provides the justification for the present study.

1.3 Aim of the Study

The main aim of this study is to examine the influence of algorithmic visibility on the changing economics of local journalism in the social media era, with particular reference to selected online news platforms and journalists in Benin City, Edo State.

1.3.1 Specific Objectives of the Study

The study seeks to:

1. examine the extent to which selected online news platforms in Benin City depend on social-media platforms for news visibility and audience reach;
2. identify the major factors that influence the algorithmic visibility of local news content on social-media platforms;
3. examine the relationship between algorithmic visibility and audience engagement of selected online news platforms in Benin City;
4. assess the extent to which social-media visibility contributes to advertising, sponsorship, subscription and other revenue opportunities for local online news platforms

1.4 Research Questions

The following research questions will guide the study:

1. To what extent do selected online news platforms in Benin City depend on social-media platforms for news visibility and audience reach?
2. What factors influence the algorithmic visibility of local news content on social-media platforms?
3. What relationship exists between algorithmic visibility and audience engagement of selected online news platforms in Benin City?
4. To what extent does social-media visibility contribute to advertising, sponsorship, subscription and other revenue opportunities for local online news platforms?

1.5 Research Hypothesis

The following null hypothesis will be tested at the 0.05 level of significance:

H₀: There is no significant relationship between algorithmic visibility and the economic sustainability of selected online news platforms in Benin City, Edo State.

1.6 Significance of the Study

The study is expected to be significant to online news organisations, journalists, media managers, journalism educators, media regulators, policymakers, advertisers, audiences and future researchers.

Online News Platforms

The study will provide online news platforms with evidence concerning the relationship between social-media visibility and economic sustainability. The findings may assist media managers in determining whether investment in social-media promotion, video production, search optimisation and audience engagement produces meaningful economic returns.

Journalists

The study will help journalists understand how platform algorithms and engagement metrics influence the visibility of their work. It may also help journalists identify strategies for improving digital visibility without abandoning professional standards of accuracy, verification and public-interest reporting.

Media Managers and Owners

Media managers may use the findings to evaluate their revenue strategies. Rather than assuming that large numbers of followers or views automatically represent financial success, managers may be able to assess which forms of visibility actually contribute to advertising, sponsorship, subscriptions, partnerships and other revenue sources.

Journalism Educators

The findings may be useful to journalism and mass communication educators in developing curricula that prepare students for the contemporary digital newsroom. Journalism education increasingly requires attention to social-media management, data analytics, digital storytelling, multimedia production, audience engagement and digital business models in addition to traditional reporting skills.

Media Regulators and Policymakers

The findings may contribute to discussions concerning the sustainability of local journalism, platform regulation, digital advertising, press freedom and the economic conditions required for professional journalism to survive in the digital environment.

Advertisers

Advertisers may benefit from a clearer understanding of the relationship between online visibility, audience engagement and local news consumption. The study may help advertisers assess whether local online news platforms provide meaningful opportunities to reach specific audiences within Benin City.

Local Communities

Sustainable local journalism is important to community accountability. When local media organisations are financially viable, they may be better positioned to investigate local issues, report community concerns and monitor public institutions. The study may therefore contribute indirectly to strengthening local information systems.

Academic Researchers

The study will add to the growing literature on platformisation, algorithmic visibility, digital journalism, attention economics and media sustainability. It will provide a Nigerian city-level perspective that may be useful for comparative research across African local media markets.

1.7 Scope of the Study

The study focuses on algorithmic visibility and the changing economics of local journalism in the social media era.

Geographically, the study is limited to Benin City, Edo State, Nigeria. The study will focus on selected online news platforms operating within or substantially serving the Benin City audience and selected journalists working with those platforms.

Conceptually, the study covers algorithmic visibility, social-media distribution, audience reach, audience engagement, digital advertising, sponsorship, subscriptions, revenue diversification, journalistic routines, content selection, workload and economic sustainability.

The study will consider major platforms through which local news is distributed, including Facebook, YouTube, Instagram, X, TikTok, WhatsApp and search engines where relevant. It will not assume that all platforms use identical algorithms; rather, the study will investigate how journalists and news organisations perceive and respond to platform-based visibility mechanisms.

The economic dimension of the study will focus on advertising revenue, sponsored content, subscriptions, donations, partnerships, grants, platform monetisation and other relevant income sources available to local online journalism.

1.8 Delimitation of the Study

The study is delimited to selected online news platforms and journalists in Benin City rather than the entire Nigerian media industry.

The study does not attempt to measure the technical architecture of proprietary algorithms operated by technology companies. Since the internal design of many platform algorithms is not publicly available, the research focuses on perceived and observable algorithmic visibility, including the factors journalists and media managers identify as influencing reach, engagement and discoverability.

The study also does not assume that every change in audience reach is caused by algorithms. Editorial quality, newsworthiness, timing, audience interests, journalist networks, platform policies, competition and external events may all influence visibility. These factors will therefore be considered where appropriate.

1.9 Operational Definition of Terms

Algorithmic Visibility

The extent to which journalistic content is made discoverable, recommended, ranked or displayed to audiences through algorithmically mediated digital platforms, search engines and social-media systems.

Algorithm

A computational set of rules or procedures used by a digital platform or system to process information, rank content, recommend material or determine what users are likely to see.

Local Journalism

Journalistic activity concerned primarily with reporting events, issues, institutions, people and developments affecting a specific geographical community or locality.

Online News Platform

A digital media organisation, website, blog, social-media-based news outlet or digital-native publisher that gathers, produces and distributes news primarily through internet-based channels.

Social Media

Digital platforms that facilitate the creation, distribution, sharing and interaction around user-generated and professionally produced content, including Facebook, YouTube, Instagram, X, TikTok and similar services.

Audience Visibility

The extent to which a news story, journalist or news organisation is exposed to and discoverable by potential news consumers.

Audience Reach

The number or proportion of people who are exposed to or have access to a news organisation’s content through its website, social-media accounts or other distribution channels.

Audience Engagement

The degree to which audiences interact with news content through activities such as clicking, viewing, liking, commenting, sharing, reposting, subscribing or otherwise responding to content.

Digital Journalism

The practice of gathering, producing, editing and distributing journalistic content through digital technologies and internet-based platforms.

Digital Advertising

Advertising delivered through internet-based channels, including websites, social-media platforms, search engines, display advertising and other digital environments.

Revenue Diversification

The use of multiple sources of income by a media organisation rather than relying on a single revenue source.

Economic Sustainability

The ability of an online news organisation or journalism enterprise to generate sufficient and relatively stable financial resources to maintain operations, employ personnel and continue producing journalism over time.

Platformisation

The increasing dependence of social and economic activities, including journalism, on digital platforms whose infrastructures, rules, data systems and algorithms influence production, distribution and consumption.

Algorithmic Dependency

A condition in which a news organisation increasingly depends on external digital platforms for audience access and distribution while having limited control over the rules determining content visibility.

Engagement Metrics

Quantifiable indicators of audience interaction with digital content, including views, likes, comments, shares, reposts, clicks, watch time, followers and similar measurements.

Click-Driven Journalism

A form of digital news production in which story selection, presentation or headlines are substantially influenced by the objective of attracting clicks and online traffic.

News Monetisation

The process of converting journalistic content, audience attention, traffic or relationships into financial revenue through advertising, subscriptions, sponsorship, donations, memberships, partnerships and other mechanisms.

Local Online Journalist

A journalist who gathers, verifies, produces or distributes news primarily for an online news organisation serving a particular locality, in this case Benin City and its surrounding communities.

Social-Media Era

The contemporary period in which social-media and digital platforms have become major channels for communication, audience interaction, information distribution and news consumption.

Benin City

The capital and major urban centre of Edo State, Nigeria, and the geographical setting for the present investigation of selected online news platforms and journalists.

1.10 Organisation of the Study

The study will be organised into five chapters.

Chapter One presents the introduction, including the background to the study, statement of the problem, aim and objectives, research questions, hypothesis, significance, scope, delimitation and operational definitions.

Chapter Two will review relevant literature on algorithmic visibility, social-media journalism, platformisation, local journalism, attention economics, digital advertising, news monetisation, media sustainability and the changing role of journalists. It will also examine relevant theoretical perspectives and empirical studies.

Chapter Three will present the research methodology, including research design, study area, population, sample size, sampling technique, research instrument, validity, reliability, data-collection procedures and methods of data analysis.

Chapter Four will present and analyse the data collected from selected online news platforms and journalists in Benin City. The research hypothesis will also be tested using an appropriate inferential statistical technique.

Chapter Five will present the summary of findings, conclusion and recommendations, as well as suggestions for further studies.

Project – Algorithmic Visibility and the Changing Economics of Local Journalism in the Social Media Era