Rodrigo Zamith
Biographic Data
| ID | 354563 |
|---|---|
| NAME | Rodrigo Zamith |
| GIVEN NAMES | Rodrigo |
| FAMILY NAME | Zamith |
| SIGNATURE | ZAMITH R |
| AFFILIATIONS | University of Massachusetts Amherst |
| ORCID | 0000-0001-8114-1734 |
| VERIFIED | Yes |
| TOTAL WORKS | 23 |
| TOTAL CITATIONS | 255 |
| AUTHOR COUNT | 23 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2012 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 7 |
Technological Hype and AI in Journalism: Five Functions and Why They Matter
Technological hype—such as that surrounding AI at the moment—can seem like just a fad, yet it powerfully organizes attention, resources, and meaning in and around journalism. We argue for taking hype more seriously as an object of inquiry because it represents something more than mere ephemeral excitement or superficial puffery: It offers a lens through which to explore the social, cultural, and institutional dynamics at work during crucial momen…
The AI turn in journalism: Disruption, adaptation, and democratic futures
In this essay, we argue that, unlike previous changes in digital media technologies over the past few decades, this AI “turn” in journalism forces us to rethink journalism’s identity and its relationship with audiences. While AI complicates and challenges some existing professional, social, political, and economic structures, it also offers new ways to realize desired journalistic objectives that were previously considered to be impractical, if n…
Open-Source Repositories as Trust-Building Journalism Infrastructure: Examining the Use of GitHub by News Outlets to Promote Transparency, Innovation, and Collaboration
This study incorporates the concepts of transparency, innovation, and collaboration within a broader analytic lens of trust-building infrastructure and applies that lens to an examination of the use of GitHub by 124 prominent news outlets over more than a decade. It finds that (a) their use of GitHub is not widespread but several outlets do actively use it; (b) they use GitHub to open-source a mixture of technologies and journalistic materials; (…
Scrutinizing Algorithms: Assessing Journalistic Role Performance in Chinese News Media’s Coverage of Artificial Intelligence
Coverage of artificial intelligence and algorithms has been largely examined by scholars studying countries in the Global North that have historically supported conditions for critical journalism and watchdog journalistic role performances.However, it is unclear if the findings from such work would be applicable to authoritarian contexts that do not share those conditions.This study addresses this gap through a textual analysis of 23 journalistic…
More of the Same? Homogenization in News Recommendations When Users Search on Google, YouTube, Facebook, and Twitter
Amid concerns over algorithmic gatekeeping and the power of digital platforms to serve as engines for polarization and disinformation, we examined the performance of algorithmic recommendation systems as news intermediaries by crowdsourcing search results about newsworthy topics. This study offers a crowdsourced audit of the recommendations made by Google, Google News, Facebook, YouTube, and Twitter to ideologically, geographically, and demograph…
(Social) Media Logics and Visualizing Climate Change: 10 Years of #climatechange Images on Twitter
Images have become a key vehicle for communicating climate change, especially in a visually oriented social media ecosystem. However, few studies have examined the ways in which climate change is visually communicated on those platforms. This study addresses that gap by examining more than 2 million images appearing alongside tweets containing #climatechange, identifying the types of images different stakeholders share and the amount of engagemen…
Online Harassment and Its Implications for the Journalist–Audience Relationship
Seth C. Lewisa* , Rodrigo Zamithb & Mark Coddingtonc a School of Journalism and Communication, University of Oregon, Eugene, OR, USAb Department of Journalism, University of Massachusetts Amherst, Amherst, MA, USAc Department of Journalism and Mass Communications, Washington and Lee University, Lexington, VA, USA
Algorithmic Actants in Practice, Theory, and Method
What changes as algorithms proliferate within journalism and become more sophisticated? In this essay, we synthesize the articles in this thematic issue, which offer empirical evidence for how algorithms—and especially those designed to automate news production—are being incorporated not only into journalistic activities but also into the logics of journalism itself. They underscore that journalists have neither feared nor rejected such algorithm…
Role Orientations and Audience Metrics in Newsrooms: An Examination of Journalistic Perceptions and their Drivers
This survey of journalists, editors, and managers working for news organizations in the United States explores the perceived importance of citizen and consumer role orientations among newsworkers. It then examines how useful these professionals perceive particular audience metrics to be in fulfilling those roles orientations. This examination takes into account the contextual factors that may influence those perceptions at the individual and orga…
Surveying journalists in the “New Normal: Considerations and recommendations
As journalism undergoes widespread changes, it finds itself in a ‘new normal’. Research seeking to understand these changes by surveying journalists faces new methodological hurdles that span different stages of the survey process. This article identifies the key contemporary challenges when it comes to sampling, instrument design, and distribution. Best research practices in identifying a target population, sampling, selecting or developing meas…
Transparency, Interactivity, Diversity, and Information Provenance in Everyday Data Journalism
This article examines the features of day-to-day data journalism produced by The New York Times and The Washington Post in the first half of 2017. The content analysis evaluates story characteristics linked to the concepts of transparency, interactivity, diversity, and information provenance. It finds that the data journalism produced by those outlets comes from small teams, focuses on “hard news,” provides fairly uncomplex data visualizations wi…
Open-Source Trading Zones and Boundary Objects: Examining GitHub as a Space for Collaborating on “News”
New actors, actants, and activities have entered journalism’s spaces in recent years. While this has raised the potential for the disruption of existing social orders, such heterogeneous assemblages also provide fruitful grounds for substantive innovation within “trading zones.” This article explores one such potential zone, the code-sharing platform GitHub, delineating the primary actors oriented around the boundary object of “news,” the objecti…
Data Journalism beyond Majority World Countries: Challenges and Opportunities
This commentary reflects on the state of research on data journalism and discusses future directions for this line of work. Drawing on theory in international development and postcolonial studies, we discuss three critical pitfalls that we encourage future scholarship in this area to avoid. These include using a linear model of progress, in which journalists in Majority World nations struggle to ‘catch up’ to their Minority World counterparts bec…
Constructing audience quantification: Social influences and the development of norms about audience analytics and metrics
Audience analytics and metrics are ubiquitous in today’s media environment. However, little is known about how creative media workers come to understand the social norms related to those technologies. Drawing on social influence theory, this study examines formal and informal socialization mechanisms in U.S. newsrooms. It finds that editorial newsworkers express receiving a moderate amount of training on the use of analytics and metrics, which is…
Quantified Audiences in News Production: A synthesis and research agenda
A number of social, technological, and economic shifts over the past two decades have led to the proliferation of audience analytics and metrics in journalism. This article contends that we are witnessing a third wave toward the rationalization of audience understanding and distinguishes between audience analytics (systems that capture information) and audience metrics (quantified measures output by those systems). The body of literature on analy…
A Computational Approach for Examining the Comparability of “Most-Viewed Lists” on Online News Sites
This study introduces a computational approach for evaluating the lists of most-viewed items present on the homepages of many news organizations, focusing on two dimensions: the list’s rate of change over the course of the day and the median time it takes a news item to appear on the list. That approach is then applied in an analysis of 21 news organizations over 2 months, revealing clusters across those dimensions which indicate the reporting of…
Capturing and Analyzing Liquid Content: A computational process for freezing and analyzing mutable documents
As scholars take greater interest in analyzing digital content, they are being presented with novel methodological challenges. Among these challenges are dealing with the volume and mutable nature of digital content, and especially online content. The present work discusses a computational approach for “freezing” and analyzing aspects of a large volume of “liquid” content using an accessible combination of free software running on consumer hardwa…
On Metrics-Driven Homepages: Assessing the relationship between popularity and prominence
As audience analytics systems have proliferated in newsrooms, scholars have expressed fears of, and in some cases assumed a shift toward, a metrics-driven workflow where certain gatekeeping decisions are made based on real-time measures of news consumption. This study evaluated the relationship between a news item’s popularity and its subsequent prominence through a two-month analysis of the homepages of 14 news organizations. The results indicat…
Content Analysis and the Algorithmic Coder: What Computational Social Science Means for Traditional Modes of Media Analysis
To deal with ever-larger datasets, media scholars are increasingly using computational analytic methods. This article focuses on how the traditional (manual) approach to conducting a content analysis-a primary method in the study of media messages-is being reconfigured, assesses what is gained and lost in turning to computational solutions, and builds on a "hybrid" approach to content analysis. We argue that computational methods are most fruitfu…
Sourcing the Arab Spring: A Case Study of Andy Carvin's Sources on Twitter During the Tunisian and Egyptian Revolutions
News sourcing practices are critical as they shape from whom journalists get their information and what information they obtain, mostly from elite sources. This study evaluates whether social media platforms expand the range of actors involved in the news through a quantitative content analysis of the sources cited by NPR's Andy Carvin on Twitter during the Arab Spring. Results show that, on balance, nonelite sources had a greater representation …
Content Analysis in an Era of Big Data: A Hybrid Approach to Computational and Manual Methods
Massive datasets of communication are challenging traditional, human-driven approaches to content analysis. Computational methods present enticing solutions to these problems but in many cases are insufficient on their own. We argue that an approach blending computational and manual methods throughout the content analysis process may yield more fruitful results, and draw on a case study of news sourcing on Twitter to illustrate this hybrid approa…
Constructing Climate Change in the Americas: An Analysis of News Coverage in U.S. and South American Newspapers
This study examined the portrayal of climate change in four national newspapers from Argentina, Brazil, Colombia, and the United States. The results indicated that leading media in Brazil and the United States highlighted the policy progress being made to mitigate climate change and presented the issue in economic terms, whereas coverage in Argentina and Colombia portrayed the issue as being urgent and emphasized the catastrophic consequences of …
Health Beliefs and Attitudes of Latino Immigrants: Rethinking Acculturation as a Constant
Quantified Audiences in News Production: A synthesis and research agenda
A number of social, technological, and economic shifts over the past two decades have led to the proliferation of audience analytics and metrics in journalism. This article contends that we are witnessing a third wave toward the rationalization of audience understanding and distinguishes between audience analytics (systems that capture information) and audience metrics (quantified measures output by those systems). The body of literature on analy…
Sourcing the Arab Spring: A Case Study of Andy Carvin's Sources on Twitter During the Tunisian and Egyptian Revolutions
News sourcing practices are critical as they shape from whom journalists get their information and what information they obtain, mostly from elite sources. This study evaluates whether social media platforms expand the range of actors involved in the news through a quantitative content analysis of the sources cited by NPR's Andy Carvin on Twitter during the Arab Spring. Results show that, on balance, nonelite sources had a greater representation …
Role Orientations and Audience Metrics in Newsrooms: An Examination of Journalistic Perceptions and their Drivers
This survey of journalists, editors, and managers working for news organizations in the United States explores the perceived importance of citizen and consumer role orientations among newsworkers. It then examines how useful these professionals perceive particular audience metrics to be in fulfilling those roles orientations. This examination takes into account the contextual factors that may influence those perceptions at the individual and orga…
Constructing audience quantification: Social influences and the development of norms about audience analytics and metrics
Audience analytics and metrics are ubiquitous in today’s media environment. However, little is known about how creative media workers come to understand the social norms related to those technologies. Drawing on social influence theory, this study examines formal and informal socialization mechanisms in U.S. newsrooms. It finds that editorial newsworkers express receiving a moderate amount of training on the use of analytics and metrics, which is…
On Metrics-Driven Homepages: Assessing the relationship between popularity and prominence
As audience analytics systems have proliferated in newsrooms, scholars have expressed fears of, and in some cases assumed a shift toward, a metrics-driven workflow where certain gatekeeping decisions are made based on real-time measures of news consumption. This study evaluated the relationship between a news item’s popularity and its subsequent prominence through a two-month analysis of the homepages of 14 news organizations. The results indicat…
Surveying journalists in the “New Normal: Considerations and recommendations
As journalism undergoes widespread changes, it finds itself in a ‘new normal’. Research seeking to understand these changes by surveying journalists faces new methodological hurdles that span different stages of the survey process. This article identifies the key contemporary challenges when it comes to sampling, instrument design, and distribution. Best research practices in identifying a target population, sampling, selecting or developing meas…
Data Journalism beyond Majority World Countries: Challenges and Opportunities
This commentary reflects on the state of research on data journalism and discusses future directions for this line of work. Drawing on theory in international development and postcolonial studies, we discuss three critical pitfalls that we encourage future scholarship in this area to avoid. These include using a linear model of progress, in which journalists in Majority World nations struggle to ‘catch up’ to their Minority World counterparts bec…
Constructing Climate Change in the Americas: An Analysis of News Coverage in U.S. and South American Newspapers
This study examined the portrayal of climate change in four national newspapers from Argentina, Brazil, Colombia, and the United States. The results indicated that leading media in Brazil and the United States highlighted the policy progress being made to mitigate climate change and presented the issue in economic terms, whereas coverage in Argentina and Colombia portrayed the issue as being urgent and emphasized the catastrophic consequences of …
More of the Same? Homogenization in News Recommendations When Users Search on Google, YouTube, Facebook, and Twitter
Amid concerns over algorithmic gatekeeping and the power of digital platforms to serve as engines for polarization and disinformation, we examined the performance of algorithmic recommendation systems as news intermediaries by crowdsourcing search results about newsworthy topics. This study offers a crowdsourced audit of the recommendations made by Google, Google News, Facebook, YouTube, and Twitter to ideologically, geographically, and demograph…
Capturing and Analyzing Liquid Content: A computational process for freezing and analyzing mutable documents
As scholars take greater interest in analyzing digital content, they are being presented with novel methodological challenges. Among these challenges are dealing with the volume and mutable nature of digital content, and especially online content. The present work discusses a computational approach for “freezing” and analyzing aspects of a large volume of “liquid” content using an accessible combination of free software running on consumer hardwa…
Content Analysis and the Algorithmic Coder: What Computational Social Science Means for Traditional Modes of Media Analysis
To deal with ever-larger datasets, media scholars are increasingly using computational analytic methods. This article focuses on how the traditional (manual) approach to conducting a content analysis-a primary method in the study of media messages-is being reconfigured, assesses what is gained and lost in turning to computational solutions, and builds on a "hybrid" approach to content analysis. We argue that computational methods are most fruitfu…
The AI turn in journalism: Disruption, adaptation, and democratic futures
In this essay, we argue that, unlike previous changes in digital media technologies over the past few decades, this AI “turn” in journalism forces us to rethink journalism’s identity and its relationship with audiences. While AI complicates and challenges some existing professional, social, political, and economic structures, it also offers new ways to realize desired journalistic objectives that were previously considered to be impractical, if n…
(Social) Media Logics and Visualizing Climate Change: 10 Years of #climatechange Images on Twitter
Images have become a key vehicle for communicating climate change, especially in a visually oriented social media ecosystem. However, few studies have examined the ways in which climate change is visually communicated on those platforms. This study addresses that gap by examining more than 2 million images appearing alongside tweets containing #climatechange, identifying the types of images different stakeholders share and the amount of engagemen…
A Computational Approach for Examining the Comparability of “Most-Viewed Lists” on Online News Sites
This study introduces a computational approach for evaluating the lists of most-viewed items present on the homepages of many news organizations, focusing on two dimensions: the list’s rate of change over the course of the day and the median time it takes a news item to appear on the list. That approach is then applied in an analysis of 21 news organizations over 2 months, revealing clusters across those dimensions which indicate the reporting of…
Scrutinizing Algorithms: Assessing Journalistic Role Performance in Chinese News Media’s Coverage of Artificial Intelligence
Coverage of artificial intelligence and algorithms has been largely examined by scholars studying countries in the Global North that have historically supported conditions for critical journalism and watchdog journalistic role performances.However, it is unclear if the findings from such work would be applicable to authoritarian contexts that do not share those conditions.This study addresses this gap through a textual analysis of 23 journalistic…
Health Beliefs and Attitudes of Latino Immigrants: Rethinking Acculturation as a Constant
Content Analysis in an Era of Big Data: A Hybrid Approach to Computational and Manual Methods
Massive datasets of communication are challenging traditional, human-driven approaches to content analysis. Computational methods present enticing solutions to these problems but in many cases are insufficient on their own. We argue that an approach blending computational and manual methods throughout the content analysis process may yield more fruitful results, and draw on a case study of news sourcing on Twitter to illustrate this hybrid approa…
Constructing Climate Change in the Americas: An Analysis of News Coverage in U.S. and South American Newspapers
This study examined the portrayal of climate change in four national newspapers from Argentina, Brazil, Colombia, and the United States. The results indicated that leading media in Brazil and the United States highlighted the policy progress being made to mitigate climate change and presented the issue in economic terms, whereas coverage in Argentina and Colombia portrayed the issue as being urgent and emphasized the catastrophic consequences of …
Sourcing the Arab Spring: A Case Study of Andy Carvin's Sources on Twitter During the Tunisian and Egyptian Revolutions
News sourcing practices are critical as they shape from whom journalists get their information and what information they obtain, mostly from elite sources. This study evaluates whether social media platforms expand the range of actors involved in the news through a quantitative content analysis of the sources cited by NPR's Andy Carvin on Twitter during the Arab Spring. Results show that, on balance, nonelite sources had a greater representation …
Content Analysis and the Algorithmic Coder: What Computational Social Science Means for Traditional Modes of Media Analysis
To deal with ever-larger datasets, media scholars are increasingly using computational analytic methods. This article focuses on how the traditional (manual) approach to conducting a content analysis-a primary method in the study of media messages-is being reconfigured, assesses what is gained and lost in turning to computational solutions, and builds on a "hybrid" approach to content analysis. We argue that computational methods are most fruitfu…
Capturing and Analyzing Liquid Content: A computational process for freezing and analyzing mutable documents
As scholars take greater interest in analyzing digital content, they are being presented with novel methodological challenges. Among these challenges are dealing with the volume and mutable nature of digital content, and especially online content. The present work discusses a computational approach for “freezing” and analyzing aspects of a large volume of “liquid” content using an accessible combination of free software running on consumer hardwa…
On Metrics-Driven Homepages: Assessing the relationship between popularity and prominence
As audience analytics systems have proliferated in newsrooms, scholars have expressed fears of, and in some cases assumed a shift toward, a metrics-driven workflow where certain gatekeeping decisions are made based on real-time measures of news consumption. This study evaluated the relationship between a news item’s popularity and its subsequent prominence through a two-month analysis of the homepages of 14 news organizations. The results indicat…
A Computational Approach for Examining the Comparability of “Most-Viewed Lists” on Online News Sites
This study introduces a computational approach for evaluating the lists of most-viewed items present on the homepages of many news organizations, focusing on two dimensions: the list’s rate of change over the course of the day and the median time it takes a news item to appear on the list. That approach is then applied in an analysis of 21 news organizations over 2 months, revealing clusters across those dimensions which indicate the reporting of…
Quantified Audiences in News Production: A synthesis and research agenda
A number of social, technological, and economic shifts over the past two decades have led to the proliferation of audience analytics and metrics in journalism. This article contends that we are witnessing a third wave toward the rationalization of audience understanding and distinguishes between audience analytics (systems that capture information) and audience metrics (quantified measures output by those systems). The body of literature on analy…
Transparency, Interactivity, Diversity, and Information Provenance in Everyday Data Journalism
This article examines the features of day-to-day data journalism produced by The New York Times and The Washington Post in the first half of 2017. The content analysis evaluates story characteristics linked to the concepts of transparency, interactivity, diversity, and information provenance. It finds that the data journalism produced by those outlets comes from small teams, focuses on “hard news,” provides fairly uncomplex data visualizations wi…
Open-Source Trading Zones and Boundary Objects: Examining GitHub as a Space for Collaborating on “News”
New actors, actants, and activities have entered journalism’s spaces in recent years. While this has raised the potential for the disruption of existing social orders, such heterogeneous assemblages also provide fruitful grounds for substantive innovation within “trading zones.” This article explores one such potential zone, the code-sharing platform GitHub, delineating the primary actors oriented around the boundary object of “news,” the objecti…
Data Journalism beyond Majority World Countries: Challenges and Opportunities
This commentary reflects on the state of research on data journalism and discusses future directions for this line of work. Drawing on theory in international development and postcolonial studies, we discuss three critical pitfalls that we encourage future scholarship in this area to avoid. These include using a linear model of progress, in which journalists in Majority World nations struggle to ‘catch up’ to their Minority World counterparts bec…
Constructing audience quantification: Social influences and the development of norms about audience analytics and metrics
Audience analytics and metrics are ubiquitous in today’s media environment. However, little is known about how creative media workers come to understand the social norms related to those technologies. Drawing on social influence theory, this study examines formal and informal socialization mechanisms in U.S. newsrooms. It finds that editorial newsworkers express receiving a moderate amount of training on the use of analytics and metrics, which is…
Online Harassment and Its Implications for the Journalist–Audience Relationship
Seth C. Lewisa* , Rodrigo Zamithb & Mark Coddingtonc a School of Journalism and Communication, University of Oregon, Eugene, OR, USAb Department of Journalism, University of Massachusetts Amherst, Amherst, MA, USAc Department of Journalism and Mass Communications, Washington and Lee University, Lexington, VA, USA
Algorithmic Actants in Practice, Theory, and Method
What changes as algorithms proliferate within journalism and become more sophisticated? In this essay, we synthesize the articles in this thematic issue, which offer empirical evidence for how algorithms—and especially those designed to automate news production—are being incorporated not only into journalistic activities but also into the logics of journalism itself. They underscore that journalists have neither feared nor rejected such algorithm…
Role Orientations and Audience Metrics in Newsrooms: An Examination of Journalistic Perceptions and their Drivers
This survey of journalists, editors, and managers working for news organizations in the United States explores the perceived importance of citizen and consumer role orientations among newsworkers. It then examines how useful these professionals perceive particular audience metrics to be in fulfilling those roles orientations. This examination takes into account the contextual factors that may influence those perceptions at the individual and orga…
Surveying journalists in the “New Normal: Considerations and recommendations
As journalism undergoes widespread changes, it finds itself in a ‘new normal’. Research seeking to understand these changes by surveying journalists faces new methodological hurdles that span different stages of the survey process. This article identifies the key contemporary challenges when it comes to sampling, instrument design, and distribution. Best research practices in identifying a target population, sampling, selecting or developing meas…
More of the Same? Homogenization in News Recommendations When Users Search on Google, YouTube, Facebook, and Twitter
Amid concerns over algorithmic gatekeeping and the power of digital platforms to serve as engines for polarization and disinformation, we examined the performance of algorithmic recommendation systems as news intermediaries by crowdsourcing search results about newsworthy topics. This study offers a crowdsourced audit of the recommendations made by Google, Google News, Facebook, YouTube, and Twitter to ideologically, geographically, and demograph…
(Social) Media Logics and Visualizing Climate Change: 10 Years of #climatechange Images on Twitter
Images have become a key vehicle for communicating climate change, especially in a visually oriented social media ecosystem. However, few studies have examined the ways in which climate change is visually communicated on those platforms. This study addresses that gap by examining more than 2 million images appearing alongside tweets containing #climatechange, identifying the types of images different stakeholders share and the amount of engagemen…
Open-Source Repositories as Trust-Building Journalism Infrastructure: Examining the Use of GitHub by News Outlets to Promote Transparency, Innovation, and Collaboration
This study incorporates the concepts of transparency, innovation, and collaboration within a broader analytic lens of trust-building infrastructure and applies that lens to an examination of the use of GitHub by 124 prominent news outlets over more than a decade. It finds that (a) their use of GitHub is not widespread but several outlets do actively use it; (b) they use GitHub to open-source a mixture of technologies and journalistic materials; (…
Scrutinizing Algorithms: Assessing Journalistic Role Performance in Chinese News Media’s Coverage of Artificial Intelligence
Coverage of artificial intelligence and algorithms has been largely examined by scholars studying countries in the Global North that have historically supported conditions for critical journalism and watchdog journalistic role performances.However, it is unclear if the findings from such work would be applicable to authoritarian contexts that do not share those conditions.This study addresses this gap through a textual analysis of 23 journalistic…
Technological Hype and AI in Journalism: Five Functions and Why They Matter
Technological hype—such as that surrounding AI at the moment—can seem like just a fad, yet it powerfully organizes attention, resources, and meaning in and around journalism. We argue for taking hype more seriously as an object of inquiry because it represents something more than mere ephemeral excitement or superficial puffery: It offers a lens through which to explore the social, cultural, and institutional dynamics at work during crucial momen…
The AI turn in journalism: Disruption, adaptation, and democratic futures
In this essay, we argue that, unlike previous changes in digital media technologies over the past few decades, this AI “turn” in journalism forces us to rethink journalism’s identity and its relationship with audiences. While AI complicates and challenges some existing professional, social, political, and economic structures, it also offers new ways to realize desired journalistic objectives that were previously considered to be impractical, if n…
Computer Science (16 works) · Political science (15 works) · Sociology (15 works) · Media Studies and Communication (14 works) · Social Media and Politics (14 works) · Data science (10 works) · Journalism (9 works) · Media studies (9 works) · Public relations (9 works) · Business (7 works)