| Literature DB >> 33225098 |
Tracie Farrell1, Genevieve Gorrell1, Kalina Bontcheva1.
Abstract
COVID-19 has given rise to a lot of malicious content online, including hate speech, online abuse, and misinformation. British MPs have also received abuse and hate on social media during this time. To understand and contextualise the level of abuse MPs receive, we consider how ministers use social media to communicate about the pandemic, and the citizen engagement that this generates. The focus of the paper is on a large-scale, mixed-methods study of abusive and antagonistic responses to UK politicians on Twitter, 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. Rather, criticising authorities appears to attract higher levels of abuse during this period of the pandemic. In addition, communicating about subjects like racism and inequality may result in accusations of virtue signalling or pandering by some users. This work contributes to the wider understanding of abusive language online, in particular that which is directed at public officials.Entities:
Keywords: Abusive speech; COVID-19; Natural language processing; Online hate; Politics; Twitter
Year: 2020 PMID: 33225098 PMCID: PMC7670984 DOI: 10.1007/s42001-020-00090-9
Source DB: PubMed Journal: J Comput Soc Sci ISSN: 2432-2725
Corpus statistics
| Original | Retweet | Reply | ReplyTo | Abusive | % Abuse |
|---|---|---|---|---|---|
| 107,209 | 187,586 | 56,706 | 4,726,070 | 179,493 | 3.798 |
Figures give number of original tweets authored by MPs, number of retweets authored by them, number of replies written by them, number of replies received by them, number of abusive replies received by them, and abusive replies received as a percentage of all replies received
Media categories that express MPs’ activities on Twitter, to which the MP received abusive replies
| Media category | No. tweets | Description | Examples |
|---|---|---|---|
| Defending | 14 | MPs responding to critiques of oneself or others | |
| Defending (e) | 3 | Similar to the above, but with “escalation indicators” (described below) | |
| Direct Rebuke | 3 | MPs critiquing someone who is not directly an authority | |
| Direct Rebuke (e) | 3 | Similar to the above, but with escalation indicators | |
| Direct Rebuke of Authorities | 60 | MPs critiquing people in power, in particular coming from opposition parties | |
| Direct Rebuke of Authorities (e) | 70 | Similar to the above, but with escalation indicators | |
| Engage Voters | 47 | MPs reaching out to potential new voters and speaking to core voters | |
| Escalation | 9 | MPs making statements that just agitate | |
| Events | 12 | The MP’s tweet relates back to an event that preceded the Tweet or a clear pattern of behaviour | |
| Information | 4 | MPs providing information without commentary | |
| Proactive | 24 | MPs relating a sense of doing something about the problem | |
| Unclear | 4 | Tweet could not be annotated or belongs to no clear category | |
| Grand Total | 190 |
Descriptions and examples included
Fig. 1Abuse percentage received by all MPs, macro- (red) and micro- (blue) average, per week
Fig. 2Abusive replies as a percentage of all replies received, micro-average, split by party, and time period
Mention count of viewpoint-related hashtags, in all replies to MPs, Feb 7th to May 25th inclusive
| Search terms (in all replies to MPs, not case-sensitive) | # tweets | # abusive | % abusive |
|---|---|---|---|
| “#endthelockdown” | 5,506 | 272 | 4.940 |
| “#newstarterfurlough” OR “#newstarterjustice” | 55,593 | 243 | 0.437 |
| “#stayhomesavelives” | 20,538 | 1222 | 5.950 |
| “#coronahoax” OR “#hoaxvirus” OR “#fakevirus” | 415 | 61 | 14.699 |
| “#coronabollocks” | 250 | 19 | 7.600 |
| “#plandemic” OR “#scamdemic” OR “#fakepandemic” | 1178 | 64 | 5.433 |
| “#filmyourhospital” OR “#emptyhospitals” | 59 | 5 | 8.475 |
| “#ccpvirus” OR “#chinaliedpeopledied” | 2463 | 38 | 1.543 |
| “#chinesevirus” | 2208 | 119 | 5.389 |
| “#NukeChina” OR “#DeathtoChina” OR “#DestroyChina” | 31 | 2 | 6.452 |
| “#GatesVirus” OR “#CIAVirus” OR “#AmericaVirus” | 69 | 2 | 2.899 |
| “#5gcoronavirus” | 53 | 1 | 1.877 |
Some further variants of the terms given, including non-hashtag mentions in text, are also included but not listed here for brevity; see Gorrell et al. [33] for a more complete description
Fig. 3Number of replies received by relevant ministers and opposition leader Keir Starmer per week from February 7th to May 25th 2020 inclusive. Central peak relates to Boris Johnson’s illness with COVID-19; late uptick arises from Dominic Cummings’ controversial trip north
Fig. 4Top 100 hashtags in all replies sent to MPs—February 7–29 2020 inclusive
MPs with greatest number of replies from February 7 to February 29 2020 inclusive
| Name | Authored | ReplyTo | COV | Abusive | % Ab | % COV | % Total COV |
|---|---|---|---|---|---|---|---|
| 14 | 48,379 | 1,072 | 1695 | 3.504 | 2.216 | 37.773 | |
| 89 | 47,368 | 73 | 2308 | 4.872 | 0.154 | 2.572 | |
| 184 | 30,789 | 18 | 1556 | 5.054 | 0.058 | 0.634 | |
| 25 | 29,550 | 215 | 2400 | 8.122 | 0.728 | 7.576 | |
| 121 | 27,113 | 17 | 823 | 3.035 | 0.063 | 0.599 | |
| 96 | 18,630 | 12 | 677 | 3.634 | 0.064 | 0.423 | |
| 96 | 18,186 | 45 | 822 | 4.520 | 0.247 | 1.586 | |
| 97 | 15,455 | 26 | 360 | 2.329 | 0.168 | 0.916 | |
| 110 | 15,271 | 9 | 413 | 2.704 | 0.059 | 0.317 | |
| 9 | 13,664 | 45 | 345 | 2.525 | 0.329 | 1.586 |
Cell indicate party membership; bold for Conservative, italics for Labour
Fig. 5Top 100 hashtags in all replies sent to MPs—March 1st–22nd 2020 inclusive
MPs with greatest number of replies from March 1st to March 22nd 2020 inclusive
| Name | Authored | replyTo | COV | Abusive | % Ab | % COV | % Total COV |
|---|---|---|---|---|---|---|---|
| 45 | 160,356 | 28,818 | 7684 | 4.792 | 17.971 | 49.380 | |
| 120 | 43,386 | 1602 | 2952 | 6.804 | 3.692 | 2.745 | |
| 100 | 42,520 | 7167 | 1800 | 4.233 | 16.856 | 12.281 | |
| 44 | 42,435 | 1824 | 3244 | 7.645 | 4.298 | 3.125 | |
| 47 | 25,534 | 2225 | 284 | 1.112 | 8.714 | 3.813 | |
| 52 | 24,731 | 1275 | 466 | 1.884 | 5.155 | 2.185 | |
| 154 | 20,931 | 394 | 541 | 2.585 | 1.882 | 0.675 | |
| 74 | 20,355 | 234 | 925 | 4.544 | 1.150 | 0.401 | |
| 145 | 20,281 | 446 | 1222 | 6.025 | 2.199 | 0.764 | |
| 107 | 18,796 | 204 | 815 | 4.336 | 1.085 | 0.350 |
Cell indicates party membership; bold for conservative, italic for Labour
Controversial topics that are expressed MPs’ posts on Twitter, to which the MP received abusive replies
| Controversial topic | No. tweets | Description | Examples |
|---|---|---|---|
| People & Communication Style | 47 | Tweets about specific people and their actions or the way that they communicate | |
| Covid Response & Impact | 67 | Tweets about the COVID-19 pandemic and any responses or impacts | |
| Inequality | 45 | Tweets about inequality in any form, be it racial, gender specific, religious, class-based, etc. | |
| Brexit | 14 | Tweets about Brexit | |
| Home rule & nationalism | 17 | Tweets that appear to address long-standing conflicts about the Union and its Governance, including pro-Scotland and anti-SNP sentiment | |
| Grand total | 190 |
Descriptions and examples included
Fig. 9The 190 highly abused tweets in the qualitative sample, split by topic and by demographic. “WW” means white women, “WoC” means women of colour, and similarly for men
Proportion of the qualitative corpus (most abused tweets) authored by different demographics, alongside representation of that demographic among MPs on Twitter for comparison, the number of replies, and the number of abusive replies received by those tweets
| Demographic | Tweets | % of corp | % Repr. | # Replies | # Abusive |
|---|---|---|---|---|---|
| White men | 348 | 72.63 | 60.63 | 257,960 | 28,263 |
| Men of colour | 25 | 10.53 | 4.36 | 28,727 | 2938 |
| Women of colour | 32 | 7.89 | 5.57 | 30,999 | 3198 |
| White women | 169 | 8.95 | 29.44 | 33,435 | 3391 |
Fig. 6Media activities and replies containing abusive language
Fig. 7COVID-19 subjects and replies containing abusive language
COVID-19 topics that are expressed MPs’ posts on Twitter, to which the MP received abusive replies
| COVID-19 topic | No. tweets | Description | Examples |
|---|---|---|---|
| Covid & Brexit | 10 | Discussing the impact of COVID-19 on Brexit | |
| Health challenges & deaths (e) | 27 | Discussion of and reporting about fatalities during COVID-19 | |
| Finance % benefits | 23 | Discussion of how financial support and benefits will work during COVID-19. This includes discussion of what COVID-19 has shown us about our current economic models | |
| Opposition responses | 9 | Defense or rebuke of Labour MPs specifically | |
| Leadership & communication | 36 | Discussion of how policy or commentary has been delivered during the COVID-19 crisis | |
| Lockdown & social distancing | 28 | Discussion of how lockdown or social distancing is impacting people, the economy and the virus | |
| Minorities & Under-valued Groups | 17 | Any discussion about a group that is viewed as a minority group in the UK | |
| Non-COVID | 40 | Any discussion about topics that are not linked to Covid-19 in direct ways, such as flooding | |
| Grand total | 190 |
Descriptions and examples included
Fig. 8Contentious issues and replies containing abusive language