Gina M. Masullo’s research while affiliated with University of Texas at Austin and other places

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Publications (42)


Connective Democracy: A New Approach to Fighting Political Divisiveness
  • Article

March 2025

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5 Reads

Social Media + Society

Gina M. Masullo

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This special issue explores connective democracy, a new theoretical approach to fighting and understanding political polarization and divisiveness online. Connective democracy asks scholars to think about solutions that bridge societal and political divides, particularly on social media. Our collection of six articles theorizes connective democracy and applies the theoretical concept to global situations, such as nurturing freedom of speech in Myanmar (Burma) and discussions of a new constitution in Chile. The articles in this special issue also consider how connective democracy is useful for understanding current problems related to polarization, such as misinformation and online vitriol, as well as how social media affordances support connective democracy. This body of work contributes to our understanding of how to deal with one of the most challenging problems facing democracy today, rampant polarization and divisiveness online.


“My body, my choice” versus “officials say” Examining the effects of solidarity and monitorial reporting

February 2025

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14 Reads

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Gina Masullo

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[...]

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This study contributes the first experiment (n = 1,342) comparing audience reception of solidarity reporting to monitorial reporting. Solidarity reporting prioritizes insights of people impacted, while monitorial reporting focuses on officials. We find that covering abortion access protests using a solidarity approach improved news story credibility perceptions for Democrats, while Republicans rated the solidarity and monitorial stories as equally credible. Solidarity reporting may help newsrooms cover contentious issues inclusively, without diminishing audience perceptions of credibility.




Figure 1. Mediation model with complaint as the predictor and identification and social influence as mediators. *Significant at p ⩽ .05, **significant at p ⩽ .01, ***significant at p ⩽ .001. Direct effect of complaint on perception of moderation: coefficients in the upper row refer to the free speech complaint, and coefficients in the lower row refer to the political persecution complaint.
Figure 2. Mediation model with user gender as predictor. *Significant at p ⩽ .05, **significant at p ⩽ .01, ***significant at p ⩽ .001.
Direct Effects of Mediation Model With User Gender as the Predictor and Social Influence as the Mediator.
Who Can Say What? Testing the Impact of Interpersonal Mechanisms and Gender on Fairness Evaluations of Content Moderation
  • Article
  • Full-text available

November 2024

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39 Reads

Social Media + Society

Content moderation is commonly used by social media platforms to curb the spread of hateful content. Yet, little is known about how users perceive this practice and which factors may influence their perceptions. Publicly denouncing content moderation—for example, portraying it as a limitation to free speech or as a form of political targeting—may play an important role in this context. Evaluations of moderation may also depend on interpersonal mechanisms triggered by perceived user characteristics. In this study, we disentangle these different factors by examining how the gender, perceived similarity, and social influence of a user publicly complaining about a content-removal decision influence evaluations of moderation. In an experiment ( n = 1,586) conducted in the United States, the Netherlands, and Portugal, participants witnessed the moderation of a hateful post, followed by a publicly posted complaint about moderation by the affected user. Evaluations of the fairness, legitimacy, and bias of the moderation decision were measured, as well as perceived similarity and social influence as mediators. The results indicate that arguments about freedom of speech significantly lower the perceived fairness of content moderation. Factors such as social influence of the moderated user impacted outcomes differently depending on the moderated user’s gender. We discuss implications of these findings for content-moderation practices.

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means for sentiment analysis for each topic (liwC).
"What Flipping Right Does a Teacher Have to Say Being [LGBTQ+] is Okay?": Understanding Twitter Discourse Around U.S. Anti-LGBTQIA+ Legislation

October 2024

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15 Reads

Howard Journal of Communication

Amidst an explosion in anti-LGBTQIA+ legislation and hate crimes in the United States, this study examines public discourses around legislation that suppress LGBTQIA+ rights. We conducted a computer-assisted content analysis of 25,711 posts on Twitter (now called X) collected during the time when bans on youths' access to gender-affirming care were beginning to proliferate across the country. We identified five topics: education, legislation, medical, Disney dispute, anti-LGBTQIA+ attacks, and assessed the sentiments and toxicity levels of each topic. Findings reveal a fractured virtual public sphere in which discussions about LGBTQIA+ rights are contentious and toxic. We found that education was the most salient topic-whether children should be taught about sexual orientation and gender identity in schools-and tweets on this topic were also the most toxic. Overwhelmingly, the tone of the tweets was negative, although this varied by the topic of the tweets. We discuss the implications of our findings for a healthy online public sphere.


Signaling news outlet trust in a Google Knowledge Panel: A conjoint experiment in Brazil, Germany, and the United States

September 2024

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55 Reads

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3 Citations

Using data from a conjoint experiment in three countries (Brazil, n = 2038; Germany, n = 2012, and the United States, n = 2005), this study demonstrates that journalistic transparency can cue trust at the level of the entire news outlet—or domain level—using a Google Knowledge Panel that comes up when people search for a news outlet. In Brazil and the United States, two pieces of information in a Knowledge Panel provided the strongest heuristics that a news outlet was trustworthy: a description of the news outlet and a description of other sites accessed by people who frequent that news outlet’s website. In Germany, information about journalists and the description of the news outlet were the strongest cues. Results offer insights into how people heuristically process online news and are discussed in relation to the heuristic-systematic model of information processing.





Citations (27)


... Therefore the decrease in removal rate after treatment may be attributable to the concurrent increase in score and not an indication of norm acquisition. However, other research on Reddit failed to confirm this trend of less harsh moderation decisions pertaining to higher-scored posts [90]. ...

Reference:

Does Positive Reinforcement Work?: A Quasi-Experimental Study of the Effects of Positive Feedback on Reddit
Deciding to Delete Posts on Reddit: What Factors Influence Content Removal
  • Citing Conference Paper
  • January 2024

... As the saliency of such policy issues grows, certain predispositions may be developed toward groups based on personal views. The perceptions that mainstream coverage elicits are then likely to be complemented by such existing attitudes toward movements and groups (Brown & Mourão, 2022;Hsiao & Radnitz, 2020;Masullo, Brown, & Harlow, 2023;McLeod & Detenber, 1999;Wouters, 2019). ...

Shifting the protest paradigm? Legitimizing and humanizing protest coverage lead to more positive attitudes toward protest, mixed results on news credibility
  • Citing Article
  • September 2023

Journalism

... Encouraging deliberation can increase intentions to wear a face mask during a pandemic (Capraro and Barcelo, 2021). Inducing empathy can favor social distancing and mask wearing (Pfattheicher et al., 2020) as well as positive attitudes toward political outgroups (Masullo, 2023). Social motivations such as reputation increase the accuracy of the assessment of online information (Ronzani et al., 2024;Rathje et al., 2023). ...

A new solution to political divisiveness: Priming a sense of common humanity through Facebook meme-like posts
  • Citing Article
  • July 2023

... Apart from a relative lack of solid evidence, content moderation research can also be considered, at best, conceptually heterogeneous and, at worst, scattered and noisy with various distinct phenomena typically being subsumed under broad and sometimes inconsistently introduced terminologies. Given that well-functioning digital public spaces are pivotal for modern democracies (Masullo et al., 2022), it is essential for researchers to closely monitor findings concerning bystander experience of platform-led CM. This can help guide platform operators toward optimizing their moderation approaches -not necessarily to boost profits but to better navigate platforms' growing societal impact. ...

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

Social Media + Society

... This becomes increasingly important as more and more people consume their news online (Newman et al., 2023) and as such shape their impression of societal polarization based on these discussions (Zerback & Fawzi, 2017). Perceiving polarization could lead readers to avoid participating in these online discussions themselves and thereby undermine the Internet's potential of enabling polyphonic dialogue (Lu et al., 2023), which is considered pivotal for the functioning of deliberative democracies (Habermas, 1984). ...

Selective Avoidance: Understanding How Position and Proportion of Online Incivility Influence News Engagement

... Uncivil discussion can also heighten negative emotions and closed-mindedness [11]. It has also been shown that people actively avoid engaging with comment threads starting with uncivil content, indicating a defensive response to toxic online environments [93]. Even those merely observing toxicity, as in the case of Maintainers on Github, experience substantial emotional taxing effort [94]. ...

Selective Avoidance: Understanding How Position and Proportion of Online Incivility Influence News Engagement
  • Citing Preprint
  • November 2022

... Scholars have advanced connective democracy as a new way of thinking through these issues that builds on the ideal of deliberative democracy while also creating the "boundary conditions" for it to exist (Overgaard et al., 2022, p. 864). Connective democracy represents a theoretical framework for reducing stereotypes and misperceptions of outgroup members by promoting an understanding of how connections between individuals within a democracy, particularly between adversaries, are necessary for democracy to flourish (Overgaard et al., , 2022. Beyond just hearing the opinions of others, connective democracy emphasizes the necessity of bridges between opposing groups built on the understanding that democracy ultimately binds us together. ...

Theorizing Connective Democracy: A New Way to Bridge Political Divides

... E. Lee, 2015). As a result, the political ideologies of specific individuals or groups may be relegated to the fringes or even suppressed out of fear of social exclusion-an effect known as the spiral of silence (Masullo & Duchovnay, 2022;Noelle-Neumann, 1974). ...

Extending the Spiral of Silence: Theorizing a Typology of Political Self-Silencing
  • Citing Article
  • September 2022

Communication Studies

... The third and final phase in the research of the news gap is especially notable from 2020, where the study of thematic divergences between media and audiences continues and is extended to a myriad of casuistry, including: multiple social media, selection in other media such as mobile applications (Castro-Pérez, Diez-Gracia & Sánchez-García, 2022), variability in electoral periods (García-Bruno, 2020;De León et al., 2021;De León & Vermeer, 2022), political intensity (Mitchelstein et al., 2016) or crisis (Masullo, Jennings & Stroud, 2021); divergence in other variables of form and content, such as the feelings present in the information or the journalistic genres with which they are published (Ormen, 2019); the attributes or characteristics that describe the topics highlighted by journalists and audiences (Arceo-Vacas & Álvarez-Sánchez, 2020); and the frames or set of attributes with which the information is presented (Zunino et al., 2022). Experimentally, Chan et al. (2022) studied the possible neurological reactions that their exposure to the most read and shared news causes in individuals. ...

“Crisis Coverage Gap”: The Divide between Public Interest and Local News’ Facebook Posts about COVID-19 in the United States
  • Citing Article
  • September 2021

... During times of crisis, social media engagement can provide insight into public sentiment towards and the level of trust in government authorities. Times of crisis, such as the health crisis, have generated a high volume of social media discussion globally [2,5,6]. However, at the same time, public opposition to official guidelines and health guidelines led to the spread of misinformation and conspiracy theories [7], which resulted in vaccine hesitancy in various countries [8,9]. ...

Facebook reactions as heuristics: Exploring relationships between reactions and commenting frequency on news about COVID-19

First Monday