Bloggers’ Responses to the Snowden Affair: Combining Automated and Manual Methods in the Analysis of News Blogging

Elgesem, Dag; Feinerer, Ingo; Steskal, Ľuboš

doi:10.1007/s10606-016-9251-z

Cited by 16 publications

(5 citation statements)

References 15 publications

(12 reference statements)

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“…The most straightforward approach of most studies regarding valid interpretation of the resulting topics is to review the words with the highest probabilities for each topic (top words) and try to find a label describing the substantive content of the topic. Often, researchers also read through a sample of documents featuring high proportions of the respective topic (e.g., Elgesem, Feinerer, & Steskal, 2016;Jacobi et al, 2015;Koltsova & Shcherbak, 2015). These strategies are applied to ensure intra-topic semantic validity of topics as the most crucial aspect of semantic validity (Quinn, Monroe, Colaresi, Crespin, & Radev, 2010).…”

Section: Topic Interpretation and Validitymentioning

confidence: 99%

Applying LDA Topic Modeling in Communication Research: Toward a Valid and Reliable Methodology

Maier

Waldherr

Miltner

et al. 2018

Communication Methods and Measures

538

356

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Latent Dirichlet allocation (LDA) topic models are increasingly being used in communication research. Yet, questions regarding reliability and validity of the approach have received little attention thus far. In applying LDA to textual data, researchers need to tackle at least four major challenges that affect these criteria: (a) appropriate pre-processing of the text collection; (b) adequate selection of model parameters, including the number of topics to be generated; (c) evaluation of the model's reliability; and (d) the process of validly interpreting the resulting topics. We review the research literature dealing with these questions and propose a methodology that approaches these challenges. Our overall goal is to make LDA topic modeling more accessible to communication researchers and to ensure compliance with disciplinary standards. Consequently, we develop a brief hands-on user guide for applying LDA topic modeling. We demonstrate the value of our approach with empirical data from an ongoing research project.

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Section: Topic Interpretation and Validitymentioning

confidence: 99%

Applying LDA Topic Modeling in Communication Research: Toward a Valid and Reliable Methodology

Maier

Waldherr

Miltner

et al. 2018

Communication Methods and Measures

538

356

View full text Add to dashboard Cite

show abstract

“…The analysis is performed automatically without human input, rendering a certain amount of topics, where the distribution represents the likelihood of the co-occurrence of different words. A threshold for likelihood that a document is actually about a certain topic was set based on (Elgesem et al, 2016) From this, topics rendered by the model are subject to human interpretation and coding, based on the word frequencies of each topic. Word co-occurrences like this often present as topics because many themes and issues (particularly news topics) have characteristic vocabularies.…”

Section: Methodsmentioning

confidence: 99%

Is public service broadcasting a threat to commercial media?

Sjøvaag

Pedersen

Owren

2018

Media, Culture & Society

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This article asks to what extent public service broadcasting’s online news service resembles that of commercial media. The context of this inquiry is claims of ‘out-crowding’ facing public service broadcasters across Europe. In Norway, commercial players in this debate accuse the public service broadcaster, NRK, of being too similar to competitors in the private sector for commercial operators to attain sustainable revenues in the online realm. To ascertain the extent to what these claims are warranted, this article compares NRK’s online content with that of nine commercial competitors in national and local markets, using a hybrid methodological approach combining quantitative content analysis with Latent Dirichlet allocation, analysing in excess of 115,000 documents. Findings show that commercial operators resemble each other more than they do NRK, indicating closer competition in the commercial segment than between the public service broadcaster and market players.

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“…al. [5] presented an analysis about the discussion of the Snowden affair using a manual topic labelling approach. Guo et.…”

Section: Related Workmentioning

confidence: 99%

SATLabel: A Framework for Sentiment and Aspect Terms Based Automatic Topic Labeling

Shahriar¹,

Moni²,

Hoque³

et al. 2022

Preprint

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In this paper, we present a framework that automatically labels Latent Dirichlet Allocation (LDA) generated topics using sentiment and aspect terms from COVID-19 tweets to help the end-users by minimizing the cognitive overhead of identifying key topics labels. Social media platforms especially Twitter are considered as one of the most influential sources of information for providing public opinion related to a critical situation like the COVID-19 pandemic. LDA is a popular topic modelling algorithm that extracts hidden themes of documents without assigning a specific label. Thus automatic labelling of LDA-generated topics from COVID-19 tweets is a great challenge instead of following the manual labelling approach to get an overview of wider public opinion. To overcome this problem, in this paper, we propose a framework named \texttt{SATLabel} that effectively identifies significant topic labels using \textit{top unigrams features of sentiment terms and aspect terms clusters from LDA generated topics} of COVID-19 related tweets to uncover various issues related to the COVID-19 pandemic. The experimental results show that our methodology is more effective, simpler, and traces better topic labels compare to the manual topic labelling approach.

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Bloggers’ Responses to the Snowden Affair: Combining Automated and Manual Methods in the Analysis of News Blogging

Cited by 16 publications

References 15 publications

Applying LDA Topic Modeling in Communication Research: Toward a Valid and Reliable Methodology

Applying LDA Topic Modeling in Communication Research: Toward a Valid and Reliable Methodology

Is public service broadcasting a threat to commercial media?

SATLabel: A Framework for Sentiment and Aspect Terms Based Automatic Topic Labeling

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