The dynamics of negative stereotypes as revealed by tweeting behavior in the aftermath of the Charlie Hebdo terrorist attack
We describe the evolution of a stereotype as it emerged in tweets about the Charlie Hebdo terrorist attack in Paris in early 2015. Our focus is on terms associated with the Muslim community and the Islamic world. The data (400k tweets) were collected via Twitter streaming API and consisted of tweets...
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2020
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| Online Access: | http://dx.doi.org/10.1016/j.heliyon.2020.e04311 https://www.sciencedirect.com/science/article/pii/S2405844020311555 http://hdl.handle.net/10576/48078 |
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| _version_ | 1857415087422177280 |
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| author | Yousri, Marzouki |
| author2 | Barach, Eliza Srinivasan, Vidhushini Shaikh, Samira Feldman, Laurie Beth |
| author2_role | author author author author |
| author_facet | Yousri, Marzouki Barach, Eliza Srinivasan, Vidhushini Shaikh, Samira Feldman, Laurie Beth |
| author_role | author |
| dc.creator.none.fl_str_mv | Yousri, Marzouki Barach, Eliza Srinivasan, Vidhushini Shaikh, Samira Feldman, Laurie Beth |
| dc.date.none.fl_str_mv | 2020-08 2023-09-28T10:09:30Z |
| dc.format.none.fl_str_mv | application/pdf |
| dc.identifier.none.fl_str_mv | http://dx.doi.org/10.1016/j.heliyon.2020.e04311 Marzouki, Y., Barach, E., Srinivasan, V., Shaikh, S., & Feldman, L. B. (2020). The dynamics of negative stereotypes as revealed by tweeting behavior in the aftermath of the Charlie Hebdo terrorist attack. Heliyon, 6(8). 24058440 https://www.sciencedirect.com/science/article/pii/S2405844020311555 http://hdl.handle.net/10576/48078 8 6 2405-8440 |
| dc.language.none.fl_str_mv | en |
| dc.publisher.none.fl_str_mv | Elsevier |
| dc.rights.none.fl_str_mv | http://creativecommons.org/licenses/by/4.0/ info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Psychology Stereotypes Tweeting behaviour Social network analysis Sentiment analysis Islamophobia |
| dc.title.none.fl_str_mv | The dynamics of negative stereotypes as revealed by tweeting behavior in the aftermath of the Charlie Hebdo terrorist attack |
| dc.type.none.fl_str_mv | Article info:eu-repo/semantics/publishedVersion info:eu-repo/semantics/article |
| description | We describe the evolution of a stereotype as it emerged in tweets about the Charlie Hebdo terrorist attack in Paris in early 2015. Our focus is on terms associated with the Muslim community and the Islamic world. The data (400k tweets) were collected via Twitter streaming API and consisted of tweets that contained at least one of 16 hashtags associated with the Charlie Hebdo attack (e.g., #JeSuisCharlie, #IAmCharlie, #ParisAttacks), collected between January 14th and February 9th. From these data, we generated pairwise co-occurrence frequencies between key words such as “Islam”, “Muslim(s)”, “Arab(s)”, and “The Prophet” and possible associates such as: “terrorism”, “terror”, “terrorist(s)”, “kill(ed)”, “free”, “freedom” and “love”. We use changes in frequency of co-occurring words to define ways in which acute negative and positive stereotypes towards Muslims and Islam arise and evolve in three phases during the period of interest. We identify a positively-valenced backlash in a subset of tweets associated with the “origins of Islam”. Results depict the emergence and transformation of implicit online stereotypes related to Islam from naturally occurring social media data and how pro-as well as anti-Islam online small-world networks evolve in response to a terrorist attack. |
| eu_rights_str_mv | openAccess |
| format | article |
| id | qu_490cda0510961e66e7f6af163f6c6e46 |
| identifier_str_mv | Marzouki, Y., Barach, E., Srinivasan, V., Shaikh, S., & Feldman, L. B. (2020). The dynamics of negative stereotypes as revealed by tweeting behavior in the aftermath of the Charlie Hebdo terrorist attack. Heliyon, 6(8). 24058440 8 6 2405-8440 |
| language_invalid_str_mv | en |
| network_acronym_str | qu |
| network_name_str | Qatar University repository |
| oai_identifier_str | oai:qspace.qu.edu.qa:10576/48078 |
| publishDate | 2020 |
| publisher.none.fl_str_mv | Elsevier |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | http://creativecommons.org/licenses/by/4.0/ |
| spelling | The dynamics of negative stereotypes as revealed by tweeting behavior in the aftermath of the Charlie Hebdo terrorist attackYousri, MarzoukiBarach, ElizaSrinivasan, VidhushiniShaikh, SamiraFeldman, Laurie BethPsychologyStereotypesTweeting behaviourSocial network analysisSentiment analysisIslamophobiaWe describe the evolution of a stereotype as it emerged in tweets about the Charlie Hebdo terrorist attack in Paris in early 2015. Our focus is on terms associated with the Muslim community and the Islamic world. The data (400k tweets) were collected via Twitter streaming API and consisted of tweets that contained at least one of 16 hashtags associated with the Charlie Hebdo attack (e.g., #JeSuisCharlie, #IAmCharlie, #ParisAttacks), collected between January 14th and February 9th. From these data, we generated pairwise co-occurrence frequencies between key words such as “Islam”, “Muslim(s)”, “Arab(s)”, and “The Prophet” and possible associates such as: “terrorism”, “terror”, “terrorist(s)”, “kill(ed)”, “free”, “freedom” and “love”. We use changes in frequency of co-occurring words to define ways in which acute negative and positive stereotypes towards Muslims and Islam arise and evolve in three phases during the period of interest. We identify a positively-valenced backlash in a subset of tweets associated with the “origins of Islam”. Results depict the emergence and transformation of implicit online stereotypes related to Islam from naturally occurring social media data and how pro-as well as anti-Islam online small-world networks evolve in response to a terrorist attack.Elsevier2023-09-28T10:09:30Z2020-08Articleinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://dx.doi.org/10.1016/j.heliyon.2020.e04311Marzouki, Y., Barach, E., Srinivasan, V., Shaikh, S., & Feldman, L. B. (2020). The dynamics of negative stereotypes as revealed by tweeting behavior in the aftermath of the Charlie Hebdo terrorist attack. Heliyon, 6(8).24058440https://www.sciencedirect.com/science/article/pii/S2405844020311555http://hdl.handle.net/10576/48078862405-8440enhttp://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:qspace.qu.edu.qa:10576/480782024-07-23T15:51:36Z |
| spellingShingle | The dynamics of negative stereotypes as revealed by tweeting behavior in the aftermath of the Charlie Hebdo terrorist attack Yousri, Marzouki Psychology Stereotypes Tweeting behaviour Social network analysis Sentiment analysis Islamophobia |
| status_str | publishedVersion |
| title | The dynamics of negative stereotypes as revealed by tweeting behavior in the aftermath of the Charlie Hebdo terrorist attack |
| title_full | The dynamics of negative stereotypes as revealed by tweeting behavior in the aftermath of the Charlie Hebdo terrorist attack |
| title_fullStr | The dynamics of negative stereotypes as revealed by tweeting behavior in the aftermath of the Charlie Hebdo terrorist attack |
| title_full_unstemmed | The dynamics of negative stereotypes as revealed by tweeting behavior in the aftermath of the Charlie Hebdo terrorist attack |
| title_short | The dynamics of negative stereotypes as revealed by tweeting behavior in the aftermath of the Charlie Hebdo terrorist attack |
| title_sort | The dynamics of negative stereotypes as revealed by tweeting behavior in the aftermath of the Charlie Hebdo terrorist attack |
| topic | Psychology Stereotypes Tweeting behaviour Social network analysis Sentiment analysis Islamophobia |
| url | http://dx.doi.org/10.1016/j.heliyon.2020.e04311 https://www.sciencedirect.com/science/article/pii/S2405844020311555 http://hdl.handle.net/10576/48078 |