Natalie Jomini Stroud’s research while affiliated with University of Texas at Austin and other places

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Publications (91)


“Crisis Coverage Gap”: The Divide between Public Interest and Local News' Facebook Posts about COVID-19 in the United States
  • Chapter

January 2025

Gina M. Masullo

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Jay Jennings

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Natalie Jomini Stroud

Fig. 1. Share of participants using Facebook and Instagram during study period. Note: This figure presents the share of Deactivation and Control groups that used Facebook and Instagram on each day. "Use" is defined as logging in and seeing five or more pieces of content. The dark gray shaded area indicates the Control group's 7-d deactivation period, while the light gray shaded area indicates the Deactivation group's 35-d additional deactivation period. We exclude Facebook use data from October 27th due to a logging error.
The effects of Facebook and Instagram on the 2020 election: A deactivation experiment
  • Article
  • Full-text available

May 2024

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187 Reads

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10 Citations

Proceedings of the National Academy of Sciences

Hunt Allcott

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Matthew Gentzkow

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Winter Mason

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[...]

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We study the effect of Facebook and Instagram access on political beliefs, attitudes, and behavior by randomizing a subset of 19,857 Facebook users and 15,585 Instagram users to deactivate their accounts for 6 wk before the 2020 U.S. election. We report four key findings. First, both Facebook and Instagram deactivation reduced an index of political participation (driven mainly by reduced participation online). Second, Facebook deactivation had no significant effect on an index of knowledge, but secondary analyses suggest that it reduced knowledge of general news while possibly also decreasing belief in misinformation circulating online. Third, Facebook deactivation may have reduced self-reported net votes for Trump, though this effect does not meet our preregistered significance threshold. Finally, the effects of both Facebook and Instagram deactivation on affective and issue polarization, perceived legitimacy of the election, candidate favorability, and voter turnout were all precisely estimated and close to zero.

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Journalist Identity and Selective Exposure: The Effects of Racial and Ethnic Diversity in News Staff

April 2024

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17 Reads


Trust, representation, engagement, and esteem by experimental condition Mean (SE).
The impact of using person-centered language to reference stigmatized groups in news coverage

January 2024

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28 Reads

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2 Citations

Journalism

News coverage often uses stigmatizing language to label marginalized groups. Person-centered language has been discussed as a potential remedy, which this study tests for the first time. Using a between-subjects experiment with members of three marginalized groups ( n = 339), we investigate whether news articles that use person-centered terms (e.g., “person with substance use disorder”) instead of stigmatizing terms (e.g., “drug abuser”) improve attitudes towards journalism. Findings show person-centered terms increased the perception that one’s group was humanized in the news article and marginally increased trust in news. This study highlights the importance of journalists’ careful consideration of the labels they apply to marginalized groups. Although trust-building efforts cannot be limited to the use of person-centered terms, this research shows that the linguistic change is a step in the right direction.





Reshares on social media amplify political news but do not detectably affect beliefs or opinions

July 2023

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171 Reads

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69 Citations

Science

We studied the effects of exposure to reshared content on Facebook during the 2020 US election by assigning a random set of consenting, US-based users to feeds that did not contain any reshares over a 3-month period. We find that removing reshared content substantially decreases the amount of political news, including content from untrustworthy sources, to which users are exposed; decreases overall clicks and reactions; and reduces partisan news clicks. Further, we observe that removing reshared content produces clear decreases in news knowledge within the sample, although there is some uncertainty about how this would generalize to all users. Contrary to expectations, the treatment does not significantly affect political polarization or any measure of individual-level political attitudes.


How do social media feed algorithms affect attitudes and behavior in an election campaign?

July 2023

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1,034 Reads

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137 Citations

Science

We investigated the effects of Facebook's and Instagram's feed algorithms during the 2020 US election. We assigned a sample of consenting users to reverse-chronologically-ordered feeds instead of the default algorithms. Moving users out of algorithmic feeds substantially decreased the time they spent on the platforms and their activity. The chronological feed also affected exposure to content: The amount of political and untrustworthy content they saw increased on both platforms, the amount of content classified as uncivil or containing slur words they saw decreased on Facebook, and the amount of content from moderate friends and sources with ideologically mixed audiences they saw increased on Facebook. Despite these substantial changes in users' on-platform experience, the chronological feed did not significantly alter levels of issue polarization, affective polarization, political knowledge, or other key attitudes during the 3-month study period.


Like-minded sources on Facebook are prevalent but not polarizing

July 2023

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312 Reads

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118 Citations

Nature

Many critics raise concerns about the prevalence of ‘echo chambers’ on social media and their potential role in increasing political polarization. However, the lack of available data and the challenges of conducting large-scale field experiments have made it difficult to assess the scope of the problem1,2. Here we present data from 2020 for the entire population of active adult Facebook users in the USA showing that content from ‘like-minded’ sources constitutes the majority of what people see on the platform, although political information and news represent only a small fraction of these exposures. To evaluate a potential response to concerns about the effects of echo chambers, we conducted a multi-wave field experiment on Facebook among 23,377 users for whom we reduced exposure to content from like-minded sources during the 2020 US presidential election by about one-third. We found that the intervention increased their exposure to content from cross-cutting sources and decreased exposure to uncivil language, but had no measurable effects on eight preregistered attitudinal measures such as affective polarization, ideological extremity, candidate evaluations and belief in false claims. These precisely estimated results suggest that although exposure to content from like-minded sources on social media is common, reducing its prevalence during the 2020 US presidential election did not correspondingly reduce polarization in beliefs or attitudes.


Citations (73)


... As these platforms have become integrated into our daily lives, transforming into essential tools for information diffusion 3,4 and personal communication 5 , they have merged entertainment-driven business models with complex social dynamics 6 , raising significant concerns about their potential impact on social dynamics 7-11 . Offering unprecedented opportunities for content to achieve rapid and widespread attention 12,13 , social media have become crucial environments for the spread of information and misinformation worldwide 14,15 , especially during sensitive periods such as global elections 16,17 . ...

Reference:

Evaluating the effect of viral posts on social media engagement
The effects of Facebook and Instagram on the 2020 election: A deactivation experiment

Proceedings of the National Academy of Sciences

... There have been repeated calls to adopt personfirst language and neutral imagery in the reporting of substance use related topics in the media, as some phrases and framings can lead to an increase in stigma (Botticelli & Koh, 2016;McGinty, Stone, et al., 2019;Tsai, et al., 2019). One recent small experimental study with participants from stigmatised groups (including people characterised as being in recovery from a substance use disorder) found that the use of person-first language in news articles increased the perception that one's group was humanised in the news article, and increased trust in news (Murray, Varma, & Stroud, 2024). Media guidelines and other resources have been published internationally to support these objectives (e.g. ...

The impact of using person-centered language to reference stigmatized groups in news coverage

Journalism

... Now this is problematic for us as well" (MBS informant). (Stroud & Duyn, 2023). In fact, page views for cyber media are crucial because they are the primary factor advertisers consider when deciding which media and news outlets to advertise in. ...

Curbing the decline of local news by building relationships with the audience
  • Citing Article
  • July 2023

Journal of Communication

... Outros textos analisados salientam que indivíduos incapazes de lidar com uma perspetiva política oposta à sua utilizam as notícias para confirmar e reforçar suas crenças e atitudes existentes, ao mesmo tempo que bloqueiam informação nova ou desafiante. Nesse sentido, a resistência como prática ideologicamente motivada leva tanto à exposição selectiva partidária como ao evitamento: a escolha de evitar informações opostas, procurando propositadamente apenas meios de comunicação de apoio (Stroud & Collier, 2018). Como isso confirma a autoidentidade ideológica, também funciona como uma maneira de conectar indivíduos que pensam da mesma forma (Dvir-Gvirsman, 2014). ...

Selective Exposure and Homophily During the 2016 Presidential Campaign
  • Citing Chapter
  • January 2018

... Finally, ecologically valid experimental methods, such as those working directly with tech companies, can help identify the effects of turning 'on' and 'off' different features. For example, Meta recently partnered with researchers to conduct a largescale intervention testing how algorithmically curated vs. chronological feeds on Instagram and Facebook changed voting behavior (Guess et al., 2023). Research identifying temporal and causal effects, particularly long-term effects across childhood and adolescence, is critical for the development of effective prevention and intervention strategies. ...

How do social media feed algorithms affect attitudes and behavior in an election campaign?
  • Citing Article
  • July 2023

Science

... Compared to previous studies that may focus on targets such as feelings towards parties or figureheads (Aslett et al. 2022;Casas, Menchen-Trevino, and Wojcieszak 2023;Guess et al. 2023), we refrained from attempts to change very general attitudes that might be more stable (Peffley and Hurwitz 1985) and queried attitudes towards policies, and, secondly, even more low-level targets as policy-specific issues. We find targeting attitudes towards policies to be a promising avenue. ...

Reshares on social media amplify political news but do not detectably affect beliefs or opinions
  • Citing Article
  • July 2023

Science

... Virtually all the literature in this area aggregates partisan consumption to the level of the domain, or source, rather than examining the partisan audiences of individual stories (Eady et al. 2019;Guess 2021;Peterson, Goel, and Iyengar 2021;Robertson et al. 2018). Bakshy, Messing, and Adamic (2015) and González-Bailón et al. (2023) are notable exceptions, discussed below. Source-level aggregation implicitly assumes that every story from a given source is drawn from a consistent distribution of partisan appeal that attracts a stable ratio of Democratic to Republican users. ...

Asymmetric ideological segregation in exposure to political news on Facebook
  • Citing Article
  • July 2023

Science

... In this paper, we simulate a networked system, where thousands of agents, solely driven by LLMs, freely establish social relationships, communicate, and form opinions on political issues. We discover that these free-form social interactions among LLM agents result in the emergence of opinion polarization, a phenomenon widely observed in human society [28,[33][34][35][36][37][38]. Meanwhile, LLM agents spontaneously organize their own social network of human-like properties: agents with homophilic opinions tend to cluster, while those with opposing opinions tend to avoid interactions /citelaiposition. ...

Like-minded sources on Facebook are prevalent but not polarizing

Nature

... A different study in the uS focused on meso news-spaces managed by a news organization (Murray, riedl, and Stroud 2023). the center for Media Engagement at the university of texas at Austin partnered with Vox Media to study how a large Facebook group (with over 20,000 members at the time) compared with small chat groups on Facebook Messenger (with more than 10 members in a group chat). ...

Using Facebook Messenger versus Groups for News Engagement
  • Citing Article
  • May 2023

Digital Journalism

... our research echoes the view of academics and public relations practitioners that social media is underutilised for dialogue (Kent, 2023;Kent & taylor, 2021;masullo et al., 2022). arts organisations miss opportunities to listen and meet the needs of their audience, potentially jeopardising their survival (Bikovska & liew, 2022;lane & Kent, 2018). ...

What Social Media Could Be: Normative Frameworks for Evaluating Digital Public Spaces
  • Citing Article
  • December 2022

Social Media + Society