News to me: far-right news sharing on social media

Dowling, Melissa-Ellen

doi:10.1080/1369118x.2023.2166796

Information, Communication & Society

2023

DOI: 10.1080/1369118x.2023.2166796

|View full text |Cite

News to me: far-right news sharing on social media

Melissa-Ellen Dowling

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2023

2024

Publication Types

Select...

Article4

Relationship

Self Cite0

Independent4

Authors

Journals

Cited by 4 publications

(1 citation statement)

References 64 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Data loss is a problem when obtaining Telegram data due to, for instance, banning and voluntary deletion of content in chats (Buehling, 2023). Further, the messenger app allowing users only to download an archive version of a single channel or chat directly in the app as either JSON or html format, which leaves collection of large datasets tedious for researchers with limited coding capacity—an issue as Telegram data is clearly relevant for qualitative researchers (Dowling, 2023) and mixed-methods integrating big and small data become more important (Dehghan et al, 2020). FROG (https://github.com/Froschi1860/F-R-O-G-Telegram-scraping-tool) aims at mitigating these issues by offering a user-interface-based solution for Telegram data gathering that is also capable of scraping multiple channels simultaneously with multiple sets of API credentials to mitigate rate limits.…”

mentioning

confidence: 99%

Introducing the FROG tool for gathering Telegram data

Primig,

Fröschl

2024

Mobile Media & Communication

View full text Add to dashboard Cite

Telegram data has become more important for social scientists as the messenger service has risen in popularity and other platforms have restricted application programming interface (API) access. Users can create public and private chat rooms, called channels or groups, with a limit of 200,000 members for groups and an unlimited number of members in channels (Telegram, 2023). Telegram has proven relatively resilient against deplatforming and regulation efforts and promises relative high levels of security to its users, which makes it attractive for mobilization efforts by activists (Ebel, 2019) and extremist groups (Krona, 2020;Mahl et al., 2021). Activism and extremism are some of the main foci of research utilizing Telegram data (Curley et al., 2022;Urman et al., 2021).Data loss is a problem when obtaining Telegram data due to, for instance, banning and voluntary deletion of content in chats (Buehling, 2023). Further, the messenger app allowing users only to download an archive version of a single channel or chat directly in the app as either JSON or html format, which leaves collection of large datasets tedious for researchers with limited coding capacity-an issue as Telegram data is clearly relevant for qualitative researchers (Dowling, 2023) and mixed-methods integrating big and small data become more important (Dehghan et al., 2020). FROG (https:// github.com/Froschi1860/F-R-O-G-Telegram-scraping-tool) aims at mitigating these issues by offering a user-interface-based solution for Telegram data gathering that is also capable of scraping multiple channels simultaneously with multiple sets of API credentials to mitigate rate limits. Users are able to select timeframes or force a full channel collection. Potential use cases include qualitative and quantitative research as well as higher education teaching.

show abstract

mentioning

confidence: 99%

Introducing the FROG tool for gathering Telegram data

Primig,

Fröschl

2024

Mobile Media & Communication

View full text Add to dashboard Cite

show abstract

Far-right populism in alt-tech: A challenge for democracy?

Dowling

2023

New Media & Society

View full text Add to dashboard Cite

This article examines how far-right communities in alt-tech platforms depict and engage with the values of democracy. The study contributes to the ongoing discussion on the impact of far-right populism on democracy and the role of alt-tech social media as an enabling platform for such ideologies. Through applying the concept of polyarchal democracy as an analytical framework, the article conducts a case study of Australian alt-tech communities to explore discourses of democracy. The dataset comprises of text-centric social media posts from the Telegram and Gab platforms during the 2022 federal election period. The findings reveal that, overall, far-right populist discourses in alt-tech communities predominantly support the processes of democracy and uphold most (though not all) of its values. Understanding these discourses is crucial for safeguarding liberal democracy in a context of rising illiberalism.

show abstract

Hate-sharing: A case study of its prevalence and impact on Gab

Weigel,

Gitomer

2024

New Media & Society

View full text Add to dashboard Cite

This article brings frameworks from literary and cultural studies and methods from network science to bear on a central topic in political communication research: polarization. Recent studies have called into question the argument that digital “echo chambers” exacerbate polarization by preventing members from encountering a diversity of information and opinions. Using Gab, a far-right social media platform, as a case study, we offer further evidence that even members of highly polarized publics do engage in “cross-cutting.” However, we develop a distinct concept of hate-sharing, or sharing content for the purpose of disagreeing with or denigrating it. We show that hate-sharing is common on Gab. Moreover, it is associated with stronger community structure than other kinds of sharing and appears to confer substantially greater influence on those who engage in it. We interpret these findings as evidence that social networks incentivize the production of networked outrage—where “hating on” linked content merges with hate.

show abstract

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

hi@scite.ai

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

News to me: far-right news sharing on social media

Cited by 4 publications

References 64 publications

Introducing the FROG tool for gathering Telegram data

Introducing the FROG tool for gathering Telegram data

Far-right populism in alt-tech: A challenge for democracy?

Hate-sharing: A case study of its prevalence and impact on Gab

Contact Info

Product

Resources

About