The catalogue contains study descriptions in various languages. The system searches with your search terms from study descriptions available in the language you have selected. The catalogue does not have ‘All languages’ option as due to linguistic differences this would give incomplete results. See the User Guide for more detailed information.
Covid-19: What are the Drivers of the Islamophobic Infodemic Communications on Social Media, 2020-2021
Creator
Awan, I, Birmingham City University
Carter, P, Birmingham City University
Study number / PID
855403 (UKDA)
10.5255/UKDA-SN-855403 (DOI)
Data access
Information not available
Series
Not available
Abstract
This was an 18 month research project that ran between June 2020 and December 2021 and examined the interaction between miscommunications and conspiracy theories in relation to key factors such as anonymity, membership length, peer groups and postage frequency, within the context of the current Covid-19 pandemic and Islamophobia on social media. The project was hosted at Birmingham City University and funded by the UKRI and Economic and Social Research Council (ESRC) under their Covid-19 rapid response call.
The project explored irrational beliefs and thoughts that are disseminated on social media, covering important coverage of communications surrounding conspiracy theories online whilst paying attention to the content associated to racist ‘infodemic’ messages. The project also sought to provide insights into the drivers of Covid-19 narratives and consequences in fuelling existing extreme communications and Islamophobic language both online and offline.There is a direct gap in understanding how conspiracy theories and miscommunication on social media sites is being used to create a Covid-19 'infodemic'. This is particularly relevant in the context of Muslim communities as members of the far-right are able to use irrational beliefs and fake news ideology to peddle hate, with such narratives quickly being able to penetrate the mainstream and become normalised. For example, one video shared on the social media site Telegram by the former leader of the English Defence League, Tommy Robinson, alleges to show a group of Muslim men leaving a secret mosque in Birmingham to pray. West Midlands Police debunked this video as being fake as the Mosque had already been closed down. A number of similar examples show the rising tension of fear fake news creates and the implications for such information which risks alienating communities and can have a real significant offline effect where people become more insular. Understanding the drivers of such communication is critical to...
Terminology used is generally based on DDI controlled vocabularies: Time Method, Analysis Unit, Sampling Procedure and Mode of Collection, available at CESSDA Vocabulary Service.
Methodology
Data collection period
15/06/2020 - 14/12/2021
Country
United Kingdom
Time dimension
Not available
Analysis unit
Individual
Universe
Not available
Sampling procedure
Not available
Kind of data
Text
Video
Data collection mode
This research project consisted of four studies that examined language, sentiment, narratives, cases studies and the relationship between the online and offline COVID-19 misinformation theories and Islamophobia across Twitter and YouTube. We examined both language and sentiment used when discussing COVID-19 misinformation and related Islamophobia. Our approach involved two separate stages of analysis. One with a quantitative focus on language and the comparison of language used between different user types. This involved categorising users based on their levels of anonymity, membership length, and postage frequency and then using corpus linguistic analysis to explore differences in language use between users. The second approach involved using the same sample, but instead using sentiment analysis to determine if there were any differences in emotion or sentiment being expressed in these comments quantitatively.
Funding information
Grant number
ES/V004840/1
Access
Publisher
UK Data Service
Publication year
2022
Terms of data access
The Data Collection only consists of metadata and documentation as the data could not be archived due to legal, ethical or commercial constraints. For further information, please contact the contact person for this data collection.