MP Twitter Abuse in the Age of COVID-19: White Paper
- URL: http://arxiv.org/abs/2006.08363v1
- Date: Wed, 10 Jun 2020 16:21:42 GMT
- Title: MP Twitter Abuse in the Age of COVID-19: White Paper
- Authors: Genevieve Gorrell, Tracie Farrell and Kalina Bontcheva
- Abstract summary: In the UK there were uncivil tweets to MPs about perceived UK tardiness to go into lockdown.
Prime minister Boris Johnson's severe illness with COVID-19 resulted in an unusual peak of supportive responses on Twitter.
Following Mr Johnson's recovery, with rising economic concerns and anger about lockdown violations by influential figures, abuse levels began to rise in May.
1,902 replies to MPs within the study period were found containing hashtags or terms that refute the existence of the virus.
- Score: 2.789514662632911
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: As COVID-19 sweeps the globe, outcomes depend on effective relationships
between the public and decision-makers. In the UK there were uncivil tweets to
MPs about perceived UK tardiness to go into lockdown. The pandemic has led to
increased attention on ministers with a role in the crisis. However, generally
this surge has been civil. Prime minister Boris Johnson's severe illness with
COVID-19 resulted in an unusual peak of supportive responses on Twitter. Those
who receive more COVID-19 mentions in their replies tend to receive less abuse
(significant negative correlation). Following Mr Johnson's recovery, with
rising economic concerns and anger about lockdown violations by influential
figures, abuse levels began to rise in May. 1,902 replies to MPs within the
study period were found containing hashtags or terms that refute the existence
of the virus (e.g. #coronahoax, #coronabollocks, 0.04% of a total 4.7 million
replies, or 9% of the number of mentions of "stay home save lives" and
variants). These have tended to be more abusive. Evidence of some members of
the public believing in COVID-19 conspiracy theories was also found. Higher
abuse levels were associated with hashtags blaming China for the pandemic.
Related papers
- "COVID-19 was a FIFA conspiracy #curropt": An Investigation into the
Viral Spread of COVID-19 Misinformation [60.268682953952506]
We estimate the extent to which misinformation has influenced the course of the COVID-19 pandemic using natural language processing models.
We provide a strategy to combat social media posts that are likely to cause widespread harm.
arXiv Detail & Related papers (2022-06-12T19:41:01Z) - The relationship between sentiment score and COVID-19 cases in the
United States [0.0]
We consider a framework for extracting sentiment scores and opinions from COVID-19 related tweets.
We connect users' sentiment with COVID-19 cases across the USA and investigate the effect of specific COVID-19 milestones on public sentiment.
arXiv Detail & Related papers (2022-01-09T01:07:13Z) - Know it to Defeat it: Exploring Health Rumor Characteristics and
Debunking Efforts on Chinese Social Media during COVID-19 Crisis [65.74516068984232]
We conduct a comprehensive analysis of four months of rumor-related online discussion during COVID-19 on Weibo, a Chinese microblogging site.
Results suggest that the dread (cause fear) type of health rumors provoked significantly more discussions and lasted longer than the wish (raise hope) type.
We show the efficacy of debunking in suppressing rumor discussions, which is time-sensitive and varies across rumor types and debunkers.
arXiv Detail & Related papers (2021-09-25T14:02:29Z) - American Twitter Users Revealed Social Determinants-related Oral Health
Disparities amid the COVID-19 Pandemic [72.44305630014534]
We collected oral health-related tweets during the COVID-19 pandemic from 9,104 Twitter users across 26 states.
Women and younger adults (19-29) are more likely to talk about oral health problems.
People from counties at a higher risk of COVID-19 talk more about tooth decay/gum bleeding and chipped tooth/tooth break.
arXiv Detail & Related papers (2021-09-16T01:10:06Z) - How COVID-19 has Impacted American Attitudes Toward China: A Study on
Twitter [3.6348608903976065]
We use social media data to examine whether a major global event has causally changed American views of another country.
We find that awareness of COVID-19 causes a sharp rise in anti-China attitudes.
arXiv Detail & Related papers (2021-08-25T04:29:58Z) - MP Twitter Engagement and Abuse Post-first COVID-19 Lockdown in the UK:
White Paper [1.9830978436021898]
This work covers the period of June to December 2020 and analyses Twitter abuse in replies to UK MPs.
We have found that abuse levels toward UK MPs were at an all-time high in December 2020 (5.4% of all reply tweets sent to MPs)
In a departure from the trend seen in the first four months of the pandemic, MPs from the Tory party received the highest percentage of abusive replies from July 2020 onward.
arXiv Detail & Related papers (2021-03-04T09:45:00Z) - Understanding the Hoarding Behaviors during the COVID-19 Pandemic using
Large Scale Social Media Data [77.34726150561087]
We analyze the hoarding and anti-hoarding patterns of over 42,000 unique Twitter users in the United States from March 1 to April 30, 2020.
We find the percentage of females in both hoarding and anti-hoarding groups is higher than that of the general Twitter user population.
The LIWC anxiety mean for the hoarding-related tweets is significantly higher than the baseline Twitter anxiety mean.
arXiv Detail & Related papers (2020-10-15T16:02:25Z) - Vindication, Virtue and Vitriol: A study of online engagement and abuse
toward British MPs during the COVID-19 Pandemic [2.789514662632911]
We study abusive and antagonistic responses to UK politicians during the pandemic from early February to late May 2020.
We find that pressing subjects such as financial concerns attract high levels of engagement, but not necessarily abusive dialogue.
In particular, those who carry the flame for subjects like racism and inequality, may be accused of virtue signalling or receive higher abuse levels due to the topics they are required to address.
arXiv Detail & Related papers (2020-08-12T12:11:22Z) - Analyzing COVID-19 on Online Social Media: Trends, Sentiments and
Emotions [44.92240076313168]
We analyze the affective trajectories of the American people and the Chinese people based on Twitter and Weibo posts between January 20th, 2020 and May 11th 2020.
By contrasting two very different countries, China and the Unites States, we reveal sharp differences in people's views on COVID-19 in different cultures.
Our study provides a computational approach to unveiling public emotions and concerns on the pandemic in real-time, which would potentially help policy-makers better understand people's need and thus make optimal policy.
arXiv Detail & Related papers (2020-05-29T09:24:38Z) - The Ivory Tower Lost: How College Students Respond Differently than the
General Public to the COVID-19 Pandemic [66.80677233314002]
Pandemic of the novel Coronavirus Disease 2019 (COVID-19) has presented governments with ultimate challenges.
In the United States, the country with the highest confirmed COVID-19 infection cases, a nationwide social distancing protocol has been implemented by the President.
This paper aims to discover the social implications of this unprecedented disruption in our interactive society by mining people's opinions on social media.
arXiv Detail & Related papers (2020-04-21T13:02:38Z)
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.