Evidence suggests that Americans became more sympathetic toward people who experienced sexual harassment as the MeToo movement surged. Yet how comprehensive these shifts in public opinion have been remains unclear. I hypothesize that women who experience workplace sexual harassment are judged against the archetype of an idealized target of sexual harassment and deemed less credible when they fall short. Using data from a novel multifactorial survey experiment, I find that net of other factors, a Black woman is deemed less credible than a white woman. A woman is also deemed less credible when she does not assertively confront the harassment in the moment and when she does not report it to her organization. Further, she is deemed less credible when there are no witnesses and when her alleged harasser has not been publicly accused of harassment by others. Her credibility is not affected by a power disparity with the harasser, the presence of alcohol, or a prior romantic relationship with the harasser. Finally, the more facets of the archetype a target conforms to, the more credible she is perceived to be. These results demonstrate a hierarchy of sexual harassment targets, in which some are deemed more credible than others.
Contextual Affective Analysis: A Case Study of People Portrayals in Online #MeToo Stories
In October 2017, numerous women accused producer Harvey Weinstein of sexual harassment. Their stories encouraged other women to voice allegations of sexual harassment against many high profile men, including politicians, actors, and producers. These events are broadly referred to as the #MeToo movement, named for the use of the hashtag “#metoo” on social media platforms like Twitter and Facebook. The movement has widely been referred to as “empowering” because it has amplified the voices of previously unheard women over those of traditionally powerful men. In this work, we investigate dynamics of sentiment, power and
agency in online media coverage of these events. Using a corpus of online media articles about the #MeToo movement, we present a contextual affective analysis—an entity-centric approach that uses contextualized lexicons to examine how people are portrayed in media articles. We show that while these articles are sympathetic towards women who have experienced sexual harassment, they consistently present men
as most powerful, even after sexual assault allegations. While we focus on media coverage of the #MeToo movement, our method for contextual affective analysis readily generalizes to other domains.
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- Award ID(s):
- 1812327
- NSF-PAR ID:
- 10098354
- Date Published:
- Journal Name:
- THE 13TH INTERNATIONAL AAAI CONFERENCE ON WEB AND SOCIAL MEDIA (ICWSM-2019)
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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Abstract -
Social media platforms aspire to create online experiences where users can participate safely and equitably. However, women around the world experience widespread online harassment, including insults, stalking, aggression, threats, and non-consensual sharing of sexual photos. This article describes women's perceptions of harm associated with online harassment and preferred platform responses to that harm. We conducted a survey in 14 geographic regions around the world (N = 3,993), focusing on regions whose perspectives have been insufficiently elevated in social media governance decisions (e.g. Mongolia, Cameroon). Results show that, on average, women perceive greater harm associated with online harassment than men, especially for non-consensual image sharing. Women also prefer most platform responses compared to men, especially removing content and banning users; however, women are less favorable towards payment as a response. Addressing global gender-based violence online requires understanding how women experience online harms and how they wish for it to be addressed. This is especially important given that the people who build and govern technology are not typically those who are most likely to experience online harms.more » « less
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Social media platforms are accused repeatedly of creating environments in which women are bullied and harassed. We argue that online aggression toward women aims to reinforce traditional feminine norms and stereotypes. In a mixed methods study, we find that this type of aggression on Twitter is common and extensive and that it can spread far beyond the original target. We locate over 2.9 million tweets in one week that contain instances of gendered insults (e.g., “bitch,” “cunt,” “slut,” or “whore”)—averaging 419,000 sexist slurs per day. The vast majority of these tweets are negative in sentiment. We analyze the social networks of the conversations that ensue in several cases and demonstrate how the use of “replies,” “retweets,” and “likes” can further victimize a target. Additionally, we develop a sentiment classifier that we use in a regression analysis to compare the negativity of sexist messages. We find that words in a message that reinforce feminine stereotypes inflate the negative sentiment of tweets to a significant and sizeable degree. These terms include those insulting someone’s appearance (e.g., “ugly”), intellect (e.g., “stupid”), sexual experience (e.g., “promiscuous”), mental stability (e.g., “crazy”), and age (“old”). Messages enforcing beauty norms tend to be particularly negative. In sum, hostile, sexist tweets are strategic in nature. They aim to promote traditional, cultural beliefs about femininity, such as beauty ideals, and they shame victims by accusing them of falling short of these standards. Harassment on social media constitutes an everyday, routine occurrence, with researchers finding 9,764,583 messages referencing bullying on Twitter over the span of two years (Bellmore et al. 2015). In other words, Twitter users post over 13,000 bullying-related messages on a daily basis. Forms of online aggression also carry with them serious, negative consequences. Repeated research documents that bullying victims suffer from a host of deleterious outcomes, such as low self-esteem (Hinduja and Patchin 2010), emotional and psychological distress (Ybarra et al. 2006), and negative emotions (Faris and Felmlee 2014; Juvonen and Gross 2008). Compared to those who have not been attacked, victims also tend to report more incidents of suicide ideation and attempted suicide (Hinduja and Patchin 2010). Several studies document that the targets of cyberbullying are disproportionately women (Backe et al. 2018; Felmlee and Faris 2016; Hinduja and Patchin 2010; Pew Research Center 2017), although there are exceptions depending on definitions and venues. Yet, we know little about the content or pattern of cyber aggression directed toward women in online forums. The purpose of the present research, therefore, is to examine in detail the practice of aggressive messaging that targets women and femininity within the social media venue of Twitter. Using both qualitative and quantitative analyses, we investigate the role of gender norm regulation in these patterns of cyber aggression.more » « less
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Abstract Objective The aim of this study was to examine rates of killings perpetrated by off‐duty police and news coverage of those killings, by victim race and gender, and to qualitatively evaluate the contexts in which those killings occur.
Data Sources and Study Setting We used the Mapping Police Violence database to curate a dataset of killings perpetrated by off‐duty police (2013–2021,
N = 242). We obtained data from Media Cloud to assess news coverage of each off‐duty police‐perpetrated killing.Study Design Our study used a convergent mixed‐methods design. We examined off‐duty police‐perpetrated killings by victim race and gender, comparing absolute rates and rates relative to total police‐perpetrated killings. [Correction added on 26 June 2023, after first online publication: ‘policy‐perpetrated’ has been changed to ‘police‐perpetrated’ in the preceding sentence.] We also conducted race‐gender comparisons of the frequency of news media reporting of these killings, and whether reporting identified the perpetrator as an off‐duty officer. We conducted thematic analysis of the narrative free‐text field that accompanied quantitative data using grounded theory.
Principal Findings Black men were the most frequent victims killed by off‐duty police (39.3%) followed by white men (25.2%), Hispanic men (11.2%), white women (9.1%), men of unknown race (9.1%), and Black women (4.1%). Black women had the highest rate of off‐duty/total police‐perpetrated killings relative to white men (rate = 12.82%, RR = 8.32, 95% CI: 4.43–15.63). There were threefold higher odds of news reporting of a police‐perpetrated killing and the off‐duty status of the officer for incidents with Black and Hispanic victims. Qualitative analysis revealed that off‐duty officers intervened violently within their own social networks; their presence escalated situations; they intentionally obscured information about their lethal violence; they intervened while impaired; their victims were often in crisis; and their intervention posed harm and potential secondary traumatization to witnesses.
Conclusions Police perpetrate lethal violence while off duty, compromising public health and safety. Additionally, off‐duty police‐perpetrated killings are reported differentially by the news media depending on the race of the victim.
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The purpose of this NSF CAREER project is to explore the participation of LGBTQ students in STEM fields. LGBTQ students leave engineering and other STEM majors and careers at higher rates than their heterosexual, cisgender peers, and the climate within these fields is a contributing factor to this difference in attrition. In order to develop a diverse engineering workforce and adequately prepare the next generation of engineers and other STEM professionals, engineering educators and departments must address inequities such as these to ensure broad participation. This purpose of this poster is to highlight progress toward meeting the first research aim of the overall project, to examine the social networks and related STEM outcomes of LGBTQ students. The project comprises three primary research aims, which also include future work comparing STEM degree completion rates between LGBTQ students and their cisgender, heterosexual peers, and exploring the intersection of STEM discipline-based identity (e.g., engineering identity, science identity) with sexual and gender identity. This project stands to improve our understanding of how to broaden participation in engineering and other STEM fields by pursuing robust research efforts that illuminate the ways sexual and gender identity shape trajectories into, through, and out of STEM. Over the past year of the project, we have accomplished developing and administering a survey to college students nationally. We administered the survey at two universities in Spring 2022 followed by a third in Fall 2022, and administration will conclude at two more in Spring 2023.The survey itself uses an egocentric social network analysis approach to gather data on the characteristics of a subset of students’ social networks, measures of several affective outcomes known to lead to academic persistence, and data on students’ college experiences and personal demographics. For this poster, we present our work testing how well the outcome measures performed in the survey instrument. Overall, our dataset as collected to date includes 404 students who completed the survey. Of these students, over half were women (58.2%), about a quarter were men (28.1%), and 8.9% were nonbinary, genderqueer, or gender nonconforming. In terms of sexual identity, 38.8% of were heterosexual, 30.1% were bisexual or pansexual, 14.4% were gay or lesbian, and 6.5% were asexual. Our survey measured three affective outcomes: sense of belonging in one’s major, commitment to one’s major, and science and engineering identity. Reliability testing and factor analysis demonstrated that our data performed well in replicating the factor structure of our measures, and content validity testing demonstrated these measures related as expected with other variables in the dataset.more » « less
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