From expressing solidarity to mocking on Twitter: Pragmatic functions of hashtags starting with #<i>jesuis</i>across languages

Cock, Bárbara De; Pedraza, Andrea Pizarro

doi:10.1017/s0047404518000052

Cited by 70 publications

(23 citation statements)

References 21 publications

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“…Natural Language Processing (NLP): This method utilized artificial intelligence techniques to analyze natural language text or speech. NLP has been utilized for different purposes on Twitter such as analyzing the use of diminutive interjections [212], the meanings of different combinations of hashtags starting with #jesuis [213], and the geographic patterns of African American Vernacular English posts [214], proposing a normalization method to convert Malay Tweet language to standard Malay [215], and decoding different languages on tweets [216]. Having an extremely significant change, the NLP theme has an increasing trend.…”

Section: The Second Category Represented Common Research Paperrelatedmentioning

confidence: 99%

Twitter and Research: A Systematic Literature Review Through Text Mining

et al. 2020

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Researchers have collected Twitter data to study a wide range of topics. This growing body of literature, however, has not yet been reviewed systematically to synthesize Twitter-related papers. The existing literature review papers have been limited by constraints of traditional methods to manually select and analyze samples of topically related papers. The goals of this retrospective study are to identify dominant topics of Twitter-based research, summarize the temporal trend of topics, and interpret the evolution of topics withing the last ten years. This study systematically mines a large number of Twitter-based studies to characterize the relevant literature by an efficient and effective approach. This study collected relevant papers from three databases and applied text mining and trend analysis to detect semantic patterns and explore the yearly development of research themes across a decade. We found 38 topics in more than 18,000 manuscripts published between 2006 and 2019. By quantifying temporal trends, this study found that while 23.7% of topics did not show a significant trend (P => 0.05), 21% of topics had increasing trends and 55.3% of topics had decreasing trends that these hot and cold topics represent three categories: application, methodology, and technology. The contributions of this paper can be utilized in the growing field of Twitter-based research and are beneficial to researchers, educators, and publishers. INDEX TERMS Literature review, social media, survey, text mining, topic modeling, Twitter.

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Section: The Second Category Represented Common Research Paperrelatedmentioning

confidence: 99%

Twitter and Research: A Systematic Literature Review Through Text Mining

et al. 2020

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“…Using different social media outlets during tragic events to express solidarity with others is becoming a typical practice and part of how people converge online and collectively deal with events. Expressing condolence, solidarity, and support on social media using drawing, hashtags, slogans, and images following terrorist attacks is becoming a common practice [23,29,40]. Many of these slogans and hashtags are extending beyond one event to becoming general marker of solidarity and alignment to other attacks [29].…”

Section: Expression Of Solidaritymentioning

confidence: 99%

Holy Tweets

Abokhodair

Elmadany

Magdy

2020

Proc. ACM Hum.-Comput. Interact.

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While social media offer users a platform for self-expression, identity exploration, and community management, among other functions, they also offer space for religious practice and expression. In this paper, we explore social media spaces as they subtend new forms of religious experiences and rituals. We present a mixedmethod study to understand the practice of sharing Quran verses on Arabic Twitter in their cultural context by combining a quantitative analysis of the most shared Quran verses, the topics covered by these verses, and the modalities of sharing, with a qualitative study of users' goals. This analysis of a set of 2.6 million tweets containing Quran verses demonstrates that online religious expression in the form of sharing Quran verses both extends offline religious life and supports new forms of religious expression including goals such as doing good deeds, giving charity, holding memorials, and showing solidarity. By analysing the responses on a survey, we found that our Arab Muslim respondents conceptualize social media platforms as everlasting, at least beyond their lifetimes, where they consider them to be effective for certain religious practices, such as reciting Quran, supplication (dua), and ceaseless charity. Our quantitative analysis of the most shared verses of the Quran underlines this commitment to religious expression as an act of worship, highlighting topics such as the hereafter, God's mercy, and sharia law. We note that verses on topics such as jihad are shared much less often, contradicting some media representation of Muslim social media use and practice.

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“…User-manipulated images on social media, and particularly on Twitter, can then take a critical or a neutral stance (De Cock & Pedraza, 2018;Shifman, 2013;Tay, 2014;Wikstrom, 2014), that is, they can express counter-visuality and advance politically engaged critiques or mock without delivering an argument. More specifically, critical images can express 'phatic criticism'when their content delivers a negative attitude without a supporting argumentor 'poetic criticism'when their content focuses on aesthetic or artistic beauty (Jakobson, 1960, see also Shifman, 2013;Miller, 2008).…”

Section: Manipulated Imagesmentioning

confidence: 99%

Political hashtag publics and counter-visuality: a case study of #fertilityday in Italy

Vicari

Iannelli

Artieri

2018

Information, Communication & Society

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In 2016 the Italian health ministry launched the 'Fertility Day' campaign, aimed at tackling Italy's low birth rate. Under the accusation of delivering sexist and racist messages, the campaign became a trending topic on Twitter, and a protest was launched to be held during Fertility Day. By applying a combination of digital methods and visual content analysis to the #fertilityday Twitter stream, this paper contributes to existing research on the deliberative strength of political hashtag publics, with a particular focus on their power structures, communication patterns and visual content use. Findings on gatekeeping dynamics downsize optimistic views on the democratizing potential of Twitter's socio-technical infrastructure as they point to the emergence of online satirical media and 'tweetstars'-along with mainstream news media-as main producers of spreadable content, with ordinary users only surfacing when traditional media elites and new satirical actors lack or lose interest in the debate. Results confirm that political hashtag publics follow acute event communication patterns, with users highly engaged in retweeting and referencing external material and visual content playing a key role in these gatewatching practices. The transient counter-visualityor critical stanceof tweets with user-manipulated images, however, also suggests that the 2 deliberative potential of these publics is not easily sustainable over time.

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From expressing solidarity to mocking on Twitter: Pragmatic functions of hashtags starting with #jesuisacross languages

Cited by 70 publications

References 21 publications

Twitter and Research: A Systematic Literature Review Through Text Mining

Twitter and Research: A Systematic Literature Review Through Text Mining

Holy Tweets

Political hashtag publics and counter-visuality: a case study of #fertilityday in Italy

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