Gender bias in sport media: a critical analysis of Twitter content and the National Football League’s Carolina Panthers

Grace, Arianne N.; Mueller, Thomas S.

doi:10.1080/09589236.2019.1568012

Cited by 6 publications

(3 citation statements)

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“…However, for time performance, web scraping is faster than Twitter API and more flexible in fetching data. Some researchers [30,31] used the Google Chrome add-on tool Data Miner on the Carolina Panthers' Twitter page (@Panthers) and used R suite to develop fitzRoy to scrape statistics from the Australian Rules Football webpage to count historical data. Next, data from the complete months of January and February 2018 were selected by the web scraping of tweets to enable comparisons between the Twitter content of two unrelated months.…”

Section: Web Scraping Analysismentioning

confidence: 99%

Developing a Multicriteria Decision-Making Model Based on a Three-Layer Virtual Internet of Things Algorithm Model to Rank Players’ Value

Chang

2022

Mathematics

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This paper proposes a multicriteria decision-making model based on a three-layer virtual internet of things (IoT) algorithm to automatically track and evaluate professional football players’ performance over the Internet. The three layers were respectively related to (1) automated data reading, (2) the players’ comprehensive grey relational degree calculation, and (3) the players’ classification. The methodology was applied in the context of the COVID-19 pandemic to investigate the performance of the top 10 defenders (according to The Sun, an internationally renowned sports website) in the European leagues, participating in the knockout phase of the 2019–20 UEFA Champions League. The results indicate that Virgil van Dijk of Liverpool FC was the best defender, followed by Harry Maguire of Manchester United, and Sergio Ramos of Real Madrid in the second and third positions, respectively. However, this ranking contradicted that of The Sun’s, which ranked these defenders in the seventh, tenth, and eighth positions, respectively. These results can help club management, coaches, and teams negotiate price positioning and future contract renewals or player transfers.

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Section: Web Scraping Analysismentioning

confidence: 99%

Developing a Multicriteria Decision-Making Model Based on a Three-Layer Virtual Internet of Things Algorithm Model to Rank Players’ Value

Chang

2022

Mathematics

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“…The role of Twitter as a news source has been examined from multiple perspectives, including perceived credibility of sources (Edgerly; Vraga, 2019), cross-cultural information flows (Mao; Menchen-Trevino, 2019) interaction with news channels (Ackland; O'Neil; Park, 2019) and agenda setting for the mainstream media (Quinn;Prendergast;Galvin, 2019). Sports news has also been investigated, for example analysing gender bias in official sports team accounts Mueller, 2019). Perhaps also related to news coverage, politics is widely discussed on Twitter and investigated (O'Boyle, 2019), including for evidence of the partisanship and bias of journalists (Lacatus, The perspective of users outside of education concerning Wikipedia has largely been ignored, however, except in terms of news-related searches…”

Section: Twittermentioning

confidence: 99%

Why are some websites researched more than others? A review of researh into the global top twenty

Thelwall¹

2020

EPI

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“…In this investigation, the relevance of this network will be studied, in relation to its coverage of issues relating to political interest and civil activism [ 5 , 6 , 7 , 8 , 9 ], and environmental challenges and social problems, such as gender inequalities [ 10 , 11 , 12 ]. Despite its democratic potential, its functional operation as a social space for the emergence of hate speech against social, cultural, sexual, and religious minorities will also be examined, based on the construction of antagonistic narratives that deny dialogical participation and promote symbolic violence [ 13 ].…”

Section: Introductionmentioning

confidence: 99%

Hate Speech, Emotions, and Gender Identities: A Study of Social Narratives on Twitter with Trainee Teachers

Sánchez

Blanch

Quintana

et al. 2021

IJERPH

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The objective of this study is, on the one hand, to analyse emotional responses to the construction of hate speech relating to gender identity on Twitter. On the other hand, the objective is to evaluate the capabilities of trainee primary education teachers at constructing alternative counter-narratives to this socially alive issue, surrounding the approval of the Ley de Identidad de Género [Gender Identity Law] in Chile, in 2018. With this two-fold objective in mind, quantitative, descriptive, and inferential analysis and qualitative analysis techniques are all applied. The results inform us of the influence of socially constructed emotions and feelings that are expressed in social narratives. However, the narratives of the participants neither appeared to reach satisfactory levels of reflection on the social issues that stirred their own emotional responses, nor on the conflict between reason and the value judgements that they expressed in the digital debate (counter-narratives). These results point to the need to consider both emotions and feelings, as categories of social analysis, and to reflect on their forms of expression within the framework of education for inclusive democratic citizenship.

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Gender bias in sport media: a critical analysis of Twitter content and the National Football League’s Carolina Panthers

Cited by 6 publications

References 0 publications

Developing a Multicriteria Decision-Making Model Based on a Three-Layer Virtual Internet of Things Algorithm Model to Rank Players’ Value

Developing a Multicriteria Decision-Making Model Based on a Three-Layer Virtual Internet of Things Algorithm Model to Rank Players’ Value

Why are some websites researched more than others? A review of researh into the global top twenty

Hate Speech, Emotions, and Gender Identities: A Study of Social Narratives on Twitter with Trainee Teachers

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