#notracist: Multi-Hashtags and Ambient Race Talk on Twitter

Sanjay Sharma, Phillip Brooker

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Twitter is becoming known for the abundance of racialised messages posted on its platform. Eruptions of racist abuse occur within a contested array of Twitter discourses, e.g. racial banter, ambivalent humour, hate comments, trolling and (anti-)racist sentiments. While there been some focus on high-profile racialised controversies and events on social media platforms, this attention can effectively ignore more mundane, yet racially charged online talk. Surprisingly, a study of everyday ‘race-talk’ on Twitter has not been undertaken, and little is known about its ambient stream of racialised expression.

This paper explores how racialised messages unfold in Twitter by focusing on the hashtag #notracist. Approximately 25,000 tweets which included this hashtag were collected over an eight month period. Hashtags enable a Twitter message (tweet) to become more findable and the potential to join a larger conversation or ad-hoc public. A methodology was developed using data visualisations to examine the corpus of Twitter data, which was not based on any specific event. Twitter users can include #notracist (and other related) hashtags in messages to label seemingly ‘racist’ statements (or links and images/videos) as ‘not racist’. In particular, the practice of using more than one hashtag (multi-hashtagging) – especially in the topical forms of either ‘humour’ or apparent ‘factual observations’– is found to be a key strategy of denying racist expression and propagating the ambiguities of Twitter race talk. Moreover, it is discovered that hashtags can be used as disclaimers, rather than for eliciting conversation. In contrast to focussing on, or interpreting the meaning of tweets, this paper explores how hashtags– as digital assemblages – are the message, and generate different practices of racialised tweeting. Overall, this paper offers a methodologically informed study to critically understand the contested digital ecology of Twitter.
Original languageEnglish
Title of host publicationDigital Discrimination and Social Networks International Conference
Subtitle of host publicationicud: Internet Creatively Unveiling Discrimination
Publication statusPublished - 13 Mar 2014
EventDigital Discrimination and Social Networks International Conference: icud: Internet Creatively Unveiling Discrimination - Centre de Cultura Contemporània de Barcelona, Sala Mirador, Barcelona, Spain
Duration: 13 Mar 201414 Mar 2014

Conference

ConferenceDigital Discrimination and Social Networks International Conference
Abbreviated titleicud2014
CountrySpain
CityBarcelona
Period13/03/1414/03/14

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Sharma, S., & Brooker, P. (2014). #notracist: Multi-Hashtags and Ambient Race Talk on Twitter. In Digital Discrimination and Social Networks International Conference: icud: Internet Creatively Unveiling Discrimination

#notracist: Multi-Hashtags and Ambient Race Talk on Twitter. / Sharma, Sanjay; Brooker, Phillip.

Digital Discrimination and Social Networks International Conference: icud: Internet Creatively Unveiling Discrimination. 2014.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Sharma, S & Brooker, P 2014, #notracist: Multi-Hashtags and Ambient Race Talk on Twitter. in Digital Discrimination and Social Networks International Conference: icud: Internet Creatively Unveiling Discrimination. Digital Discrimination and Social Networks International Conference, Barcelona, Spain, 13/03/14.
Sharma S, Brooker P. #notracist: Multi-Hashtags and Ambient Race Talk on Twitter. In Digital Discrimination and Social Networks International Conference: icud: Internet Creatively Unveiling Discrimination. 2014
Sharma, Sanjay ; Brooker, Phillip. / #notracist: Multi-Hashtags and Ambient Race Talk on Twitter. Digital Discrimination and Social Networks International Conference: icud: Internet Creatively Unveiling Discrimination. 2014.
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title = "#notracist: Multi-Hashtags and Ambient Race Talk on Twitter",
abstract = "Twitter is becoming known for the abundance of racialised messages posted on its platform. Eruptions of racist abuse occur within a contested array of Twitter discourses, e.g. racial banter, ambivalent humour, hate comments, trolling and (anti-)racist sentiments. While there been some focus on high-profile racialised controversies and events on social media platforms, this attention can effectively ignore more mundane, yet racially charged online talk. Surprisingly, a study of everyday ‘race-talk’ on Twitter has not been undertaken, and little is known about its ambient stream of racialised expression.This paper explores how racialised messages unfold in Twitter by focusing on the hashtag #notracist. Approximately 25,000 tweets which included this hashtag were collected over an eight month period. Hashtags enable a Twitter message (tweet) to become more findable and the potential to join a larger conversation or ad-hoc public. A methodology was developed using data visualisations to examine the corpus of Twitter data, which was not based on any specific event. Twitter users can include #notracist (and other related) hashtags in messages to label seemingly ‘racist’ statements (or links and images/videos) as ‘not racist’. In particular, the practice of using more than one hashtag (multi-hashtagging) – especially in the topical forms of either ‘humour’ or apparent ‘factual observations’– is found to be a key strategy of denying racist expression and propagating the ambiguities of Twitter race talk. Moreover, it is discovered that hashtags can be used as disclaimers, rather than for eliciting conversation. In contrast to focussing on, or interpreting the meaning of tweets, this paper explores how hashtags– as digital assemblages – are the message, and generate different practices of racialised tweeting. Overall, this paper offers a methodologically informed study to critically understand the contested digital ecology of Twitter.",
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AB - Twitter is becoming known for the abundance of racialised messages posted on its platform. Eruptions of racist abuse occur within a contested array of Twitter discourses, e.g. racial banter, ambivalent humour, hate comments, trolling and (anti-)racist sentiments. While there been some focus on high-profile racialised controversies and events on social media platforms, this attention can effectively ignore more mundane, yet racially charged online talk. Surprisingly, a study of everyday ‘race-talk’ on Twitter has not been undertaken, and little is known about its ambient stream of racialised expression.This paper explores how racialised messages unfold in Twitter by focusing on the hashtag #notracist. Approximately 25,000 tweets which included this hashtag were collected over an eight month period. Hashtags enable a Twitter message (tweet) to become more findable and the potential to join a larger conversation or ad-hoc public. A methodology was developed using data visualisations to examine the corpus of Twitter data, which was not based on any specific event. Twitter users can include #notracist (and other related) hashtags in messages to label seemingly ‘racist’ statements (or links and images/videos) as ‘not racist’. In particular, the practice of using more than one hashtag (multi-hashtagging) – especially in the topical forms of either ‘humour’ or apparent ‘factual observations’– is found to be a key strategy of denying racist expression and propagating the ambiguities of Twitter race talk. Moreover, it is discovered that hashtags can be used as disclaimers, rather than for eliciting conversation. In contrast to focussing on, or interpreting the meaning of tweets, this paper explores how hashtags– as digital assemblages – are the message, and generate different practices of racialised tweeting. Overall, this paper offers a methodologically informed study to critically understand the contested digital ecology of Twitter.

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