Introduction—Topic models: What they are and why they matter

Mohr, John W.; Bogdanov, Petko

doi:10.1016/j.poetic.2013.10.001

Cited by 340 publications

(265 citation statements)

References 13 publications

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“…This article uses the software program Mallet, which is a topic model that uses the Latent Dirichlet Allocation -or LDA (Blei et al, 2003). This is an algorithm that assumes a relational approach to texts in the sense that the meaning of words emerges from the different semantic relations among them (Mohr and Bogdanov, 2013). As a result, instead of looking at isolated words, topic modeling discovers latent structures in a collection of textual documents and shows us more qualitatively (albeit on a large scale) what themes emerge from the vast body of tweets.…”

Section: Methodsmentioning

confidence: 99%

Western solidarity with Pussy Riot and the Twittering of cosmopolitan selves

Weij

Berkers

Engelbert

2015

Int J Consumer Studies

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This article aims to explain the widespread attention to contemporary protesting artists among Western audiences by focusing on the case of Pussy Riot. Social movement scholarship provides a first step into understanding how Pussy Riot legitimately protests Russian politics through its punk performances. It then turns to the concept of cosmopolitanism as a performance in everyday life to explain Pussy Riot's appeal among Western audiences. By collecting and analyzing 9001 tweets through a thematic hashtag analysis and topic modeling, this article analyzes how audiences talk about Pussy Riot and shows how Twitter affords users to perform cosmopolitan selves by sharing their ideas and experiences on Pussy Riot with others. Although we distinguish between four types of cosmopolitan selves, the results clearly show Pussy Riot is mainly reflected upon in a media context: Twitter users predominantly talk about Pussy Riot's media appearances rather than readily engage with its explicit political advocacy.

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Section: Methodsmentioning

confidence: 99%

Western solidarity with Pussy Riot and the Twittering of cosmopolitan selves

Weij

Berkers

Engelbert

2015

Int J Consumer Studies

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“…Institutional researchers have made some progress in developing the relationship between meaning and space, particularly in studies on understanding how the ability of an entity to fit into a semantic category can improve that entity's perceived legitimacy (Hsu, Hannan, & Koçak, 2009;Zuckerman, 1999). Considerably more progress on this work, however, has come from methodological insights into topicmodeling in which network-related statistical techniques, commonly used to measure interaction in space, are applied to interaction in meaning systems (DiMaggio, Nag, & Blei, 2013;Mohr & Bogdanov, 2013). Mohr and Guerra-Pearson's (2010) analysis of how organizational forms come to be differentially distributed across institutionalized spaces of meaning exemplifies this type of research.…”

Section: A Spatial Turn In Institutional Theory?mentioning

confidence: 99%

On the Spatiality of Institutions and Knowledge

Glückler

Suddaby

Lenz

2018

Knowledge and Institutions

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“…While this does not eliminate the role of the researcher, it is often claimed that it turns the analytical work on its head by moving the work burden from identifying patterns internal to the text data, to the interpretation and theoretical conceptualization of patterns, and their relation to their social context (Krippendorff, 2004). For instance, as Mohr and Bogdanov (2013) argue, topic modeling shift[s] the locus of subjectivity within the methodological program -interpretation is still required, but from the perspective of the actual modeling of the data, the more subjective moment of the procedure has been shifted over to the post-modeling phase of the analysis. (p. 560) While we partly agree with this, it is nonetheless important to be aware that using topic modeling is not a neutral and rigorous process and the resulting topics do not reflect the one and only 'true' content of the corpus.…”

Section: Generating and Interpreting Topicsmentioning

confidence: 99%

Combining CDA and topic modeling: Analyzing discursive connections between Islamophobia and anti-feminism on an online forum

Törnberg

2016

Discourse & Society

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In this article we present an analysis of the discursive connections between Islamophobia and anti-feminism on a large Internet forum. We argue that the incipient shift from traditional media toward user-driven social media brings with it new media dynamics, relocating the (re)production of societal discourses and power structures and thus bringing about new ways in which discursive power is exercised. This clearly motivates the need to critically engage this field. Our research is based on the analysis of a corpus consisting of over 50 million posts, collected from the forum using custom web crawlers. In order to approach this vast material of unstructured text, we suggest a novel methodological synergy combining critical discourse analysis (CDA) and topic modeling -a type of statistical model for the automated categorization of large quantities of texts developed in computer science. By rendering an overview or 'content map' of the corpus, topic modeling provides an enriching complement to CDA, aiding discovery and adding analytical rigor.

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Introduction—Topic models: What they are and why they matter

Cited by 340 publications

References 13 publications

Western solidarity with Pussy Riot and the Twittering of cosmopolitan selves

Western solidarity with Pussy Riot and the Twittering of cosmopolitan selves

On the Spatiality of Institutions and Knowledge

Combining CDA and topic modeling: Analyzing discursive connections between Islamophobia and anti-feminism on an online forum

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