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A Corpus of Memes from Reddit: Acquisition, Preparation and First Case Studies
Schmidt, Thomas
, Schiller, Fabian, Götz, Mathias und Wolff, Christian
(2023)
A Corpus of Memes from Reddit: Acquisition, Preparation and First Case Studies.
In: Klein, Maike und Krupka, Daniel und Winter, Cornelia und Wohlgemuth, Volker, (eds.)
INFORMATIK 2023. Designing Futures: Zukünfte gestalten.
Lecture Notes in Informatics (LNI), 337.
Gesellschaft für Informatik e.V. (GI), Bonn, S. 795-804.
ISBN 978-3-88579-731-9.
Veröffentlichungsdatum dieses Volltextes: 28 Mai 2024 11:04
Buchkapitel
Zusammenfassung
We present a corpus of memes and their textual components that were acquired from the popular meme platform r\memes, a subreddit of Reddit and one of the major outlets of online meme culture. The corpus consists of the most popular memes from 2013-2021 on the platform and we acquired 11,701 memes and 280,351 text tokens. We conduct several case studies focused on diachronic analysis to highlight ...
We present a corpus of memes and their textual components that were acquired from the popular meme platform r, a subreddit of Reddit and one of the major outlets of online meme culture. The corpus consists of the most popular memes from 2013-2021 on the platform and we acquired 11,701 memes and 280,351 text tokens. We conduct several case studies focused on diachronic analysis to highlight the possibilities of the corpus for research in internet studies and online culture. We examine the general activity on the platform throughout the years and identify a significant increase in meme production beginning 2017. Results of sentiment analysis show a tendency towards memes with positively classified texts. The analysis of most frequent words per half-year spotlights the importance of certain cultural events for meme culture (e.g. the 2016 US election). Using the LIWC to analyze swear and sexual words shows an overall decrease in the usage of these words pointing to an increased moderation of the platform. The corpus is publicly available for the research community for further studies.
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| Dokumentenart | Buchkapitel | ||||
| ISBN | 978-3-88579-731-9 | ||||
| Buchtitel: | INFORMATIK 2023. Designing Futures: Zukünfte gestalten | ||||
|---|---|---|---|---|---|
| Verlag: | Gesellschaft für Informatik e.V. (GI) | ||||
| Ort der Veröffentlichung: | Bonn | ||||
| Sonstige Reihe: | Lecture Notes in Informatics (LNI) | ||||
| Band: | 337 | ||||
| Seitenbereich: | S. 795-804 | ||||
| Datum | September 2023 | ||||
| Institutionen | Sprach- und Literatur- und Kulturwissenschaften > Institut für Information und Medien, Sprache und Kultur (I:IMSK) > Lehrstuhl für Medieninformatik (Prof. Dr. Christian Wolff) Informatik und Data Science > Fachbereich Menschzentrierte Informatik > Lehrstuhl für Medieninformatik (Prof. Dr. Christian Wolff) | ||||
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| Verwandte URLs |
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| Stichwörter / Keywords | memes, internet studies, corpus, natural language processing, sentiment analysis, Reddit | ||||
| Dewey-Dezimal-Klassifikation | 000 Informatik, Informationswissenschaft, allgemeine Werke > 004 Informatik | ||||
| Status | Veröffentlicht | ||||
| Begutachtet | Ja, diese Version wurde begutachtet | ||||
| An der Universität Regensburg entstanden | Ja | ||||
| URN der UB Regensburg | urn:nbn:de:bvb:355-epub-582593 | ||||
| Dokumenten-ID | 58259 |
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