What Truly Matters? Using Linguistic Cues for Analyzing the #BlackLivesMatter Movement and its Counter Protests: 2013 to 2020

• URL: http://arxiv.org/abs/2109.12192v1
• Date: Mon, 20 Sep 2021 18:34:30 GMT
• Title: What Truly Matters? Using Linguistic Cues for Analyzing the #BlackLivesMatter Movement and its Counter Protests: 2013 to 2020
• Authors: Jamell Dacon, Jiliang Tang
• Abstract summary: There has been a significant increase in digital activism addressing police-brutality related and racially-motivated incidents in the U.S. We use social media as an authoritative tool to examine and analyze the linguistic cues and thematic relationships in these three mediums. Our results show that excessive use of racially-related or prejudicial hashtags were used by the counter protests which portray potential discriminatory tendencies.
• Score: 31.670509436139735
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Since the fatal shooting of 17-year old Black teenager Trayvon Martin in February 2012 by a White neighborhood watchman, George Zimmerman in Sanford, Florida, there has been a significant increase in digital activism addressing police-brutality related and racially-motivated incidents in the United States. In this work, we administer an innovative study of digital activism by exploiting social media as an authoritative tool to examine and analyze the linguistic cues and thematic relationships in these three mediums. We conduct a multi-level text analysis on 36,984,559 tweets to investigate users' behaviors to examine the language used and understand the impact of digital activism on social media within each social movement on a sentence-level, word-level, and topic-level. Our results show that excessive use of racially-related or prejudicial hashtags were used by the counter protests which portray potential discriminatory tendencies. Consequently, our findings highlight that social activism done by Black Lives Matter activists does not diverge from the social issues and topics involving police-brutality related and racially-motivated killings of Black individuals due to the shape of its topical graph that topics and conversations encircling the largest component directly relate to the topic of Black Lives Matter. Finally, we see that both Blue Lives Matter and All Lives Matter movements depict a different directive, as the topics of Blue Lives Matter or All Lives Matter do not reside in the center. These findings suggest that topics and conversations within each social movement are skewed, random or possessed racially-related undertones, and thus, deviating from the prominent social injustice issues.

Related papers

• #BlackLivesMatter and Racism in Life Expectancy, Poverty, Educational Attainment, and Race Compositions: State Analysis of 2020 Tweets in the USA [0.0]
  We studied the hashtag "BlackLivesMatter" and its adversary contentions regarding George Floyd's demise in 2020 on Twitter. The purpose is to investigate how racism content is correlated with life expectancy, poverty, and education.
  arXiv  Detail & Related papers  (2023-04-13T17:57:16Z)
• What are People Talking about in #BlackLivesMatter and #StopAsianHate? Exploring and Categorizing Twitter Topics Emerging in Online Social Movements through the Latent Dirichlet Allocation Model [27.53788299995914]
  Black Lives Matter (BLM) and Stop Asian Hate (SAH) are two successful social movements that have spread on Twitter. This study adopts a mixed-methods approach to comprehensively analyze BLM and SAH Twitter topics. We collected more than one million tweets with the #blacklivesmatter and #stopasianhate hashtags and compared their topics.
  arXiv  Detail & Related papers  (2022-05-29T17:29:40Z)
• Demographic Confounding Causes Extreme Instances of Lifestyle Politics on Facebook [73.37786708074361]
  We find that the most extreme instances of lifestyle politics are those which are highly confounded by demographics such as race/ethnicity. The most liberal interests included electric cars, Planned Parenthood, and liberal satire while the most conservative interests included the Republican Party and conservative commentators.
  arXiv  Detail & Related papers  (2022-01-17T16:48:00Z)
• TweetBLM: A Hate Speech Dataset and Analysis of Black Lives Matter-related Microblogs on Twitter [2.741266294612776]
  We have proposed a Black Lives Matter related tweet hate speech dataset TweetBLM. Our dataset comprises 9165 manually annotated tweets that target the Black Lives Matter movement.
  arXiv  Detail & Related papers  (2021-08-27T22:47:02Z)
• News consumption and social media regulations policy [70.31753171707005]
  We analyze two social media that enforced opposite moderation methods, Twitter and Gab, to assess the interplay between news consumption and content regulation. Our results show that the presence of moderation pursued by Twitter produces a significant reduction of questionable content. The lack of clear regulation on Gab results in the tendency of the user to engage with both types of content, showing a slight preference for the questionable ones which may account for a dissing/endorsement behavior.
  arXiv  Detail & Related papers  (2021-06-07T19:26:32Z)
• Black Lives Matter discourse on US social media during COVID: polarised positions enacted in a new event [0.0]
  The largest protests in US history occurred in late May and early June 2020, following the death of George Floyd at the hands of Minneapolis police. The protests were notable not only for their size but also that they occurred at a time the US was still struggling to control the spread of the COVID-19 pandemic. Social media data suggest that this was not the case, with discussion of the BLM movement replacing discussion of COVID on US social media.
  arXiv  Detail & Related papers  (2020-09-08T09:56:16Z)
• Twitter Corpus of the #BlackLivesMatter Movement And Counter Protests: 2013 to 2021 [3.026131612560646]
  Black Lives Matter (BLM) is a decentralized social movement protesting violence against Black individuals and communities. The #BlackLivesMatter social media hashtag has come to represent the grassroots movement. Similar hashtags counter protesting the BLM movement, such as #AllLivesMatter, and #BlueLivesMatter.
  arXiv  Detail & Related papers  (2020-09-01T17:37:39Z)
• Racism is a Virus: Anti-Asian Hate and Counterspeech in Social Media during the COVID-19 Crisis [51.39895377836919]
  COVID-19 has sparked racism and hate on social media targeted towards Asian communities. We study the evolution and spread of anti-Asian hate speech through the lens of Twitter. We create COVID-HATE, the largest dataset of anti-Asian hate and counterspeech spanning 14 months.
  arXiv  Detail & Related papers  (2020-05-25T21:58:09Z)
• Whose Tweets are Surveilled for the Police: An Audit of Social-Media Monitoring Tool via Log Files [69.02688684221265]
  We obtained log files from the Corvallis (Oregon) Police Department's use of social media monitoring software called DigitalStakeout. These log files include the results of proprietary searches by DigitalStakeout that were running over a period of 13 months and include 7240 social media posts. We observe differences in the demographics of the users whose Tweets are flagged by DigitalStakeout compared to the demographics of the Twitter users in the region.
  arXiv  Detail & Related papers  (2020-01-23T19:35:12Z)
• #MeToo on Campus: Studying College Sexual Assault at Scale Using Data Reported on Social Media [71.74529365205053]
  We analyze the influence of the # trend on a pool of college followers. The results show that the majority of topics embedded in those # tweets detail sexual harassment stories. There exists a significant correlation between the prevalence of this trend and official reports on several major geographical regions.
  arXiv  Detail & Related papers  (2020-01-16T18:05:46Z)

This list is automatically generated from the titles and abstracts of the papers in this site.

This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.