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TrollsWithOpinion: A Dataset for Predicting Domain-specific Opinion Manipulation in Troll Memes

TrollsWithOpinion: A Dataset for Predicting Domain-specific Opinion Manipulation in Troll Memes

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2570646699

TrollsWithOpinion: A Dataset for Predicting Domain-specific Opinion Manipulation in Troll Memes

About this item

Full title

TrollsWithOpinion: A Dataset for Predicting Domain-specific Opinion Manipulation in Troll Memes

Publisher

Ithaca: Cornell University Library, arXiv.org

Journal title

arXiv.org, 2022-05

Language

English

Formats

Publication information

Publisher

Ithaca: Cornell University Library, arXiv.org

More information

Scope and Contents

Contents

Research into the classification of Image with Text (IWT) troll memes has recently become popular. Since the online community utilizes the refuge of memes to express themselves, there is an abundance of data in the form of memes. These memes have the potential to demean, harras, or bully targeted individuals. Moreover, the targeted individual could...

Alternative Titles

Full title

TrollsWithOpinion: A Dataset for Predicting Domain-specific Opinion Manipulation in Troll Memes

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2570646699

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2570646699

Other Identifiers

E-ISSN

2331-8422

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