Tweeting rape culture: Examining portrayals of victim blaming in discussions of sexual assault cases on Twitter

2018 ◽  
Vol 28 (1) ◽  
pp. 90-108 ◽  
Author(s):  
Megan Stubbs-Richardson ◽  
Nicole E Rader ◽  
Arthur G Cosby
Keyword(s):  
Social Media ◽  
Sexual Assault ◽  
Cultural Change ◽  
Qualitative Content Analysis ◽  
Future Research ◽  
Victim Blaming ◽  
Rape Culture ◽  
Contemporary Culture ◽  
Victim Support ◽  
Twitter Users

Social media has become an important aspect of contemporary culture and cultural change; it has accordingly become a valuable resource for informing feminist theory. Social media is a digitized social reality that lends itself to analysis and research. This study examines rape culture in the widely used social media platform, Twitter. We collected tweets from four days surrounding the Torrington and Steubenville Rape Trials and the Rehtaeh Parson’s story of rape, victimization, and suicide. Using qualitative content analysis, we identified three themes related to rape culture: (1) the virgin–whore binary and the just world, (2) sharing information on the sexual assault cases as subnews, and (3) rape myth debunking to support victims. Additional analysis indicated that Twitter users who engaged in victim blaming were more likely to be retweeted and have more followers than Twitter users who engaged in tweeting victim support content. The research demonstrates that rape culture is an aspect of social media and that data about rape culture can be readily accessed and studied. It also suggests that in future research, social media can be used to study how individuals and groups who are exhibiting rape culture interact with others who are engaged in victim support.

Negative Attitudes and Beliefs Toward the #MeToo Movement on Twitter

2021 ◽  
pp. 088626052110014
Author(s):  
Meena Nutbeam ◽  
Ethan H. Mereish
Keyword(s):  
Social Media ◽  
Sexual Assault ◽  
Qualitative Content Analysis ◽  
Attitudes And Beliefs ◽  
Initial Sample ◽  
Negative Attitudes ◽  
Social Media Platform ◽  
Male Power ◽  
Media Platform ◽  
Twitter Users

Given recent and growing societal movements focusing on sexual assault, such as the #MeToo Movement, it is imperative to understand current attitudes about sexual assault and these movements. The aim of this study was to examine negative attitudes and beliefs about sexual assault in the context of the #MeToo Movement by qualitatively analyzing social media posts (i.e., tweets) containing the hashtag “metoo” on Twitter, a popular social media platform. The initial sample consisted of 4,559 tweets that were publicly posted by Twitter users across a four-day timeframe and represented events and attitudes regarding both about an accuser and an accused. Data were cleaned and coded, and a remaining 508 tweets were included because they contained content that was categorized as negative in their attitudes or beliefs (either through attitudes of condemnation or ambivalence towards accusers and/or the #MeToo Movement). Results from a qualitative content analysis of tweets demonstrated that negative attitudes and beliefs about sexual assault within the context of the #MeToo Movement were conveyed through six main themes: (1) invalidating the accusations made as part of the #MeToo Movement; (2) insisting, and likely believing, that accusations made were false; (3) claiming that there were alternative motives for those accusations; (4) showing a concern for the harm that accusations may cause those accused; (5) exhibiting concerns about the effects of the Movement on male power, privilege, and status; and (6) questioning the integrity of the #MeToo Movement as a whole. These findings provide a deeper understanding of attitudes and beliefs about the #MeToo Movement, including novel beliefs not often addressed in the literature. Most importantly, these findings show that rape culture continues to persist despite current interventions and social movements. Results underscore the need for future interventions that aim to educate and improve societal attitudes towards sexual assault.

Twitter Users’ Displays of Affect in the Global Warming Debate

2021 ◽  
pp. 004728162110078
Author(s):  
Shanna Cameron ◽  
Alexandra Russell ◽  
Luke Brake ◽  
Katherine Fredlund ◽  
Angela Morris
Keyword(s):  
Climate Change ◽  
Social Media ◽  
Global Warming ◽  
Content Analysis ◽  
Technical Communication ◽  
Research Team ◽  
Future Research ◽  
Climate Change Research ◽  
Quantitative Content ◽  
Twitter Users

This article engages with recent discussions in the field of technical communication that call for climate change research that moves beyond the believer/denier dichotomy. For this study, our research team coded 900 tweets about climate change and global warming for different emotions in order to understand how Twitter users rely on affect rhetorically. Our findings use quantitative content analysis to challenge current assumptions about writing and affect on social media, and our results indicate a number of arenas for future research on affect, global warming, and rhetoric.

scholarly journals “These Women are Making a Statement Against Rape and yet the only Thing Y'All can Focus on is ‘Eww They're Naked’”: Exploring Rape Culture on Facebook in South Africa

Gender Issues ◽  
2020 ◽  
Author(s):  
Zaida Orth ◽  
Michelle Andipatin ◽  
Brian van Wyk
Keyword(s):  
Social Media ◽  
South African ◽  
Public Discourse ◽  
Public Health Problem ◽  
Victim Blaming ◽  
Rape Culture ◽  
The Public ◽  
Social Media Platforms ◽  
Aggressive Male ◽  
Public Reaction

Abstract Sexual assault on campuses has been identified as a pervasive public health problem. In April 2016, students across South African universities launched the #Endrapeculture campaign to express their frustration against university policies which served to perpetuate a rape culture. The use of hashtag activism during the protest served to spark online public debates and mobilize support for the protests. This article describes the public reactions to the South African #Endrapeculture protests on the Facebook social media platform. Data was collected through natural observations of comment threads on news articles and public posts on the student protests, and subjected to content analysis. The findings suggest that the #nakedprotest was successful in initiating public conversations concerning the issue of rape culture. However, the reactions towards the #nakedprotest were divided with some perpetuating a mainstream public discourse which perpetuates rape culture, and others (re)presenting a counter-public that challenged current dominant views about rape culture. Two related main themes emerged: Victim-blaming and Trivialising Rape Culture. Victim-blaming narratives emerged from the commenters and suggested that the protesters were increasing their chances of being sexually assaulted by marching topless. This discourse seems to perpetuate the notion of the aggressive male sexual desire and places the onus on women to protect themselves. Other commenters criticised the #nakedprotest method through demeaning comments which served to derail the conversation and trivialise the message behind the protest. The public reaction to the #nakedprotest demonstrated that rape culture is pervasive in society and continues to be re(produced) through discourse on social media platforms. However, social media also offers individuals the opportunity to draw from and participate in multiple counter-publics which challenge these mainstream rape culture discourses.

scholarly journals Applying Qualitative Methods to Investigate Social Actions for Justice Using Social Media: Illustrations From Facebook

2020 ◽  
Vol 6 (2) ◽  
pp. 205630512091992
Author(s):  
Zaida Orth ◽  
Michelle Andipatin ◽  
Ferdinand C Mukumbang ◽  
Brian van Wyk
Keyword(s):  
Social Media ◽  
South African ◽  
Qualitative Data ◽  
Social Issues ◽  
Qualitative Content Analysis ◽  
Decomposition Analysis ◽  
Rape Culture ◽  
Social Phenomena ◽  
Social Actions ◽  
Use Of Social Media

Social media is becoming a valuable resource for hosting activism as illustrated in the rise of the hashtag movements, such as #MeToo and #Endrapeculture, used to speak out against rape culture. In this article, we discuss the use of social media as the source and object of research, using the case of the 2016 South African #nakedprotest. We used naturalistic observation on Facebook comment threads and followed these up with online Facebook focus groups. Qualitative content analysis and thematic decomposition analysis were used, respectively, to explore online discourses of rape culture. We found that the use of social media as a medium for data collection is valuable for exploring trending social issues such as the rape culture #nakedprotest. We uncovered that social media offers researchers the opportunity to collect, analyze, and triangulate rich qualitative data for the exploration of social phenomena. This study illustrates the usefulness of social media as a pedagogical instrument.

#Sponsoring the #FrenchOpen: An Examination of Social Media Buzz and Sentiment

2015 ◽  
Vol 29 (2) ◽  
pp. 184-199 ◽  
Author(s):  
Elizabeth B. Delia ◽  
Cole G. Armstrong
Keyword(s):  
Social Media ◽  
Social Networking Sites ◽  
Positive Relationship ◽  
Future Research ◽  
Case Study Analysis ◽  
Sporting Event ◽  
Sponsorship Effectiveness ◽  
Twitter Users ◽  
Industry Professionals

Scholars have frequently examined sponsorship effectiveness via survey instrument; however, no efforts have been made to gauge sponsorship effectiveness via social networking sites. As a medium for consumer activity and interaction, scholars and industry professionals can leverage social media to monitor the effects of sponsorship in real time, as consumers experience a sporting event. In this exploratory study, we employed a mixed methods study design to examine Twitter users’ discussion of 2013 French Open sponsors during the tennis tournament. We found a weak positive relationship between sponsor-event functional fit and positive sponsor-related sentiment, and a weak positive relationship between a sponsor company’s social media presence and event-related buzz. Through case study analysis, we discovered unintended misrepresentation and activation were apparent drivers of sponsor-related social media conversation during the 2013 French Open. As an emerging area for sponsorship research, we provide suggestions for future research into sponsorship and social media.

scholarly journals THE SOCIAL MEDIA AND EDUCATIONAL CHANGES AT NEW GENERATIONS :ANTHROPOLOGICAL RESEARCH AT BAGHDAD CITY

2021 ◽  
Vol 03 (02) ◽  
pp. 360-377
Author(s):  
Zahra ABBAS
Keyword(s):  
Social Media ◽  
Young People ◽  
Cultural Change ◽  
Social Values ◽  
Effective Means ◽  
Moral Values ◽  
Contemporary Culture ◽  
The Social ◽  
Anthropological Research ◽  
The Impact

The research seeks to reveal the impact of the means of communication and cultural change among new generations and their reflection on the nature of their cultural formation - The importance of research Modern means of communication constitute a threat to traditional social values and customs and put society in front of new problems, especially among new generations. Secondly, it is one of the most effective means to effect a cultural change that pushes society to interact with contemporary culture and break traditional barriers, and its ability to threaten a system of traditional social values in society The risks it can leave on social and moral values in society, especially on young people, which makes these risks reflected in the disintegration of the national feelings of young people and their direction towards their individual interests and the search for freedom and individual achievements and a culture of interest in the overall issues in society.

scholarly journals Covid-19 on Twitter: an analysis of risk communication with visuals

2021 ◽  
Author(s):  
Joanna Sleigh ◽  
Julia Amann ◽  
Manuel Schneider ◽  
Effy Vayena
Keyword(s):  
Social Media ◽  
Risk Communication ◽  
Qualitative Content Analysis ◽  
Future Research ◽  
Health Crisis ◽  
Media Companies ◽  
Preventative Measures ◽  
Health Gains ◽  
Risk Framing ◽  
Loss Framing

Abstract Background: In a pandemic, when timely and clear communication is important, visuals on social media can help citizens quickly find and understand health risk information. In recognition of visuality and social media’s value during a crisis, we investigated popular Covid-19 risk communication with visuals posted on the platform Twitter. Looking at tweet authors, their use of graphics, the preventative messages, and risk framing, our objective was to determine how visual communication on Twitter promoted WHO Covid-19 health recommendations.Methods: We sourced Twitter’s 500 most retweeted Covid-19 messages for each month from January - October 2020 using Crowdbreaks. Included tweets had to have visuals, be in English, come from verified accounts, and contain at least one of the keywords ‘covid19', 'coronavirus', 'corona', or 'covid’. Following a retrospective approach, we then performed a qualitative content analysis of the tweets’ text and visuals. Results: Most of the tweets analysed came from influencers - individuals with many followers (51%), followed by media companies (30%), and health and government institutions (15%). At the start of the pandemic, the latter two were most prevalent. Analysis of visual formats showed that photographs were most common, and the majority of tweets combined them with other graphic types (55%). 68% of tweets had text in their visual, 42% of all visuals were animated, and 26% included a URL. ‘Stay home’ and ‘wear a mask’ were the most frequently communicated Covid-19 preventative measures. 70% of tweets used risk framing (emphasising health gains or loss), and 32% had tones of critique.Conclusion: This study found that the most retweeted Covid-19 preventative measures with visuals mostly came from individuals, showing that health and government organisations were not alone in promoting preventative measures on Twitter. This stresses the important role individuals play in the dissemination of information using social media during a health crisis. The finding that more tweets used health loss framing, often combined with the emotive medium of photographs, raises concerns about persuasive tactics feeding on fear. Future research is needed to better understand this approach's consequences and its impact on public perceptions and behaviours.

scholarly journals Evolution of corporate reputation during an evolving controversy

2019 ◽  
Vol 23 (1) ◽  
pp. 52-71 ◽  
Author(s):  
Siyoung Chung ◽  
Mark Chong ◽  
Jie Sheng Chua ◽  
Jin Cheon Na
Keyword(s):  
Machine Learning ◽  
Social Media ◽  
Sentiment Analysis ◽  
Corporate Reputation ◽  
Supervised Machine Learning ◽  
Future Research ◽  
Content Type ◽  
Twitter Users ◽  
Corporate Crisis ◽  
The Impact

PurposeThe purpose of this paper is to investigate the evolution of online sentiments toward a company (i.e. Chipotle) during a crisis, and the effects of corporate apology on those sentiments.Design/methodology/approachUsing a very large data set of tweets (i.e. over 2.6m) about Company A’s food poisoning case (2015–2016). This case was selected because it is widely known, drew attention from various stakeholders and had many dynamics (e.g. multiple outbreaks, and across different locations). This study employed a supervised machine learning approach. Its sentiment polarity classification and relevance classification consisted of five steps: sampling, labeling, tokenization, augmentation of semantic representation, and the training of supervised classifiers for relevance and sentiment prediction.FindingsThe findings show that: the overall sentiment of tweets specific to the crisis was neutral; promotions and marketing communication may not be effective in converting negative sentiments to positive sentiments; a corporate crisis drew public attention and sparked public discussion on social media; while corporate apologies had a positive effect on sentiments, the effect did not last long, as the apologies did not remove public concerns about food safety; and some Twitter users exerted a significant influence on online sentiments through their popular tweets, which were heavily retweeted among Twitter users.Research limitations/implicationsEven with multiple training sessions and the use of a voting procedure (i.e. when there was a discrepancy in the coding of a tweet), there were some tweets that could not be accurately coded for sentiment. Aspect-based sentiment analysis and deep learning algorithms can be used to address this limitation in future research. This analysis of the impact of Chipotle’s apologies on sentiment did not test for a direct relationship. Future research could use manual coding to include only specific responses to the corporate apology. There was a delay between the time social media users received the news and the time they responded to it. Time delay poses a challenge to the sentiment analysis of Twitter data, as it is difficult to interpret which peak corresponds with which incident/s. This study focused solely on Twitter, which is just one of several social media sites that had content about the crisis.Practical implicationsFirst, companies should use social media as official corporate news channels and frequently update them with any developments about the crisis, and use them proactively. Second, companies in crisis should refrain from marketing efforts. Instead, they should focus on resolving the issue at hand and not attempt to regain a favorable relationship with stakeholders right away. Third, companies can leverage video, images and humor, as well as individuals with large online social networks to increase the reach and diffusion of their messages.Originality/valueThis study is among the first to empirically investigate the dynamics of corporate reputation as it evolves during a crisis as well as the effects of corporate apology on online sentiments. It is also one of the few studies that employs sentiment analysis using a supervised machine learning method in the area of corporate reputation and communication management. In addition, it offers valuable insights to both researchers and practitioners who wish to utilize big data to understand the online perceptions and behaviors of stakeholders during a corporate crisis.

Social Media Activism and Convergence in Tweet Topics After the Initial #MeToo Movement for Two Distinct Groups of Twitter Users

2021 ◽  
pp. 088626052110014
Author(s):  
Jason M. Baik ◽  
Thet H. Nyein ◽  
Sepideh Modrek
Keyword(s):  
Social Media ◽  
Sexual Assault ◽  
Frequency Analysis ◽  
Topic Modeling ◽  
Latent Dirichlet Allocation ◽  
Bigram Frequency ◽  
Media Activism ◽  
Online Social Media ◽  
Before And After ◽  
Twitter Users

Online social media movements are now common and support cultural discussions on difficult health and social topics. The #MeToo movement, focusing on the pervasiveness of sexual assault and harassment, has been one of the largest and most influential online movements. Our study examines topics of conversation on Twitter by supporters of the #MeToo movement and by Twitter users who were uninvolved in the movement to explore the extent to which tweet topics for these two groups converge over time. We identify and collect one year’s worth of tweets for supporters of the #MeToo movement ( N = 168 users; N = 105,538 tweets) and users not involved in the movement ( N = 147 users; N = 112,301 tweets referred to as the Neutral Sample). We conduct topic frequency analysis and implement an unsupervised machine learning topic modeling algorithm, latent Dirichlet allocation, to explore topics of discussion on Twitter for these two groups of users before and after the initial #MeToo movement. Our results suggest that supporters of #MeToo discussed different topics compared to the Neutral Sample of Twitter users before #MeToo with some overlap on politics. The supporters were already discussing sexual assault and harassment issues six months before #MeToo, and discussion on this topic increased 13.7-fold in the six months after. For the Neutral Sample, sexual assault and harassment was not a key topic of discussion on Twitter before #MeToo, but there was some limited increase afterward. Results of bigram frequency analysis and topic modeling showed a clear increase in topic related to gender for the supporters of #MeToo but gave mixed results for the Neutral Sample comparison group. Our results suggest limited shifts in the conversation on Twitter for the Neutral Sample. Our methods and results have implications for measuring the extent to which online social media movements, like #MeToo, reach a broad audience.

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