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- All Subjects: Twitter
- Creators: Computer Science and Engineering Program
- Creators: Gilpin, Dawn
- Member of: Barrett, The Honors College Thesis/Creative Project Collection
Over the past couple of years, the focus on the prevalence of hate-speech and misinformation on the internet has increased. Lawmakers feel that repealing or reforming Section 230 of the Communication Decency Act is the way to go, considering that the law has been used to protect companies from any liability in the past. In this podcast series, I will be explaining what Section 230 is, how it affects us, and what changes are being proposed. In doing so, I wish to shed a light on how the problems of the internet are not solely in the hands of social media giants and a 26-word long law, but all its users that make up our global community.
The role of technology in shaping modern society has become increasingly important in the context of current democratic politics, especially when examined through the lens of social media. Twitter is a prominent social media platform used as a political medium, contributing to political movements such as #OccupyWallStreet, #MeToo, and #BlackLivesMatter. Using the #BlackLivesMatter movement as an illustrative case to establish patterns in Twitter usage, this thesis aims to answer the question “to what extent is Twitter an accurate representation of “real life” in terms of performative activism and user engagement?” The discussion of Twitter is contextualized by research on Twitter’s use in politics, both as a mobilizing force and potential to divide and mislead. Using intervals of time between 2014 – 2020, Twitter data containing #BlackLivesMatter is collected and analyzed. The discussion of findings centers around the role of performative activism in social mobilization on twitter. The analysis shows patterns in the data that indicates performative activism can skew the real picture of civic engagement, which can impact the way in which public opinion affects future public policy and mobilization.
Social injustice issues are a familiar, yet very arduous topic to define. This is because they are difficult to predict and tough to understand. Injustice issues negatively affect communities because they directly violate human rights and they span a wide range of areas. For instance, injustice issues can relate to unfair labor practices, racism, gender bias, politics etc. This leaves numerous individuals wondering how they can make sense of social injustice issues and perhaps take efforts to stop them from occurring in the future. In an attempt to understand the rather complicated nature of social injustice, this thesis takes a data driven approach to define a social injustice index for a specific country, India. The thesis is an attempt to quantify and track social injustice through social media to see the current social climate. This was accomplished by developing a web scraper to collect hate speech data from Twitter. The tweets collected were then classified by their level of hate and presented on a choropleth map of India. Ultimately, a user viewing the ‘India Social Injustice Index’ map should be able to simply view an index score for a desired state in India through a single click. This thesis hopes to make it simple for any user viewing the social injustice map to make better sense of injustice issues.
Social media posts included in the discussion were taken from Twitter and explored using the qualitative research-based Grounded Theory. Four celebrities were selected as case studies to illustrate hate that popular music artists receive. These celebrities were Justin Bieber, Shawn Mendes, Taylor Swift and Ariana Grande. Before the data collection process transitioned to Twitter for specific examples, Google Search was effective in providing background information on each celebrity's controversies. With open coding as the chosen stage of data analysis, tweets were grouped with those containing similar content (e.g. two tweets using the same insult).
Social media users can uncover problematic tweets and refuse to forgive celebrities for past mistakes, send threatening messages that encourage celebrities to kill themselves, shame celebrities for their physical appearances and sexualities and so forth. All of these concepts are observed within the respective literature review and discussion sections. The types of online harassment included are insults, devotion defending, threats and hacking.
The gathered data found that difference in the online harassment that female pop stars receive versus that toward male pop stars often lies in how people perceive their sexualities and physical appearances, as well as the distance perceived between the social media user and the celebrity. In the examples provided, women were regarded as “whores” for wearing certain clothing and blamed for issues in their relationships, whereas men were not seen as the problem and criticized for appearing too "feminine."
It is recommended that people become more aware of the consequences of online harassment in general, but particularly toward celebrities who are viewed as being unaffected by hate comments. Due to the limitations of this study, future research within this area should include people of color and various sectors of the entertainment industry.