On Language and Structure in Polarized Communities

Lai, Mirko

doi:10.4995/thesis/10251/119116

Cited by 2 publications

(2 citation statements)

References 55 publications

(142 reference statements)

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“…There exist some natural language resources for the analysis of political content in social media. These include collections related to elections in countries such as Spain (Taulé et al, 2018), France (Lai, 2019), and Italy (Lai et al, 2018). Vamvas and Sennrich (2020) created an X-stance dataset that consists of German, French, and Italian text, allowing for a cross-lingual evaluation of stance detection.…”

Section: Introductionmentioning

confidence: 99%

Political Advertising Dataset: the use case of the Polish 2020 Presidential Elections

Augustyniak¹,

Krzysztof²,

Kajdanowicz³

et al. 2020

Preprint

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Political campaigns are full of political ads posted by candidates on social media. Political advertisements constitute a basic form of campaigning, subjected to various social requirements. We present the first publicly open dataset for detecting specific text chunks and categories of political advertising in the Polish language. It contains 1,705 human-annotated tweets tagged with nine categories, which constitute campaigning under Polish electoral law. We achieved a 0.65 inter-annotator agreement (Cohen's kappa score). An additional annotator resolved the mismatches between the first two annotators improving the consistency and complexity of the annotation process. We used the newly created dataset to train a well established neural tagger (achieving a 70% percent points F1 score). We also present a possible direction of use cases for such datasets and models with an initial analysis of the Polish 2020 Presidential Elections on Twitter.

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Section: Introductionmentioning

confidence: 99%

Political Advertising Dataset: the use case of the Polish 2020 Presidential Elections

Augustyniak¹,

Krzysztof²,

Kajdanowicz³

et al. 2020

Preprint

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“…". Certain matters do not only provide everyday challenges for researchers, but their results may have a huge impact on society altogether [Lai, 2019].…”

Section: Sentiment Analysis Irony Detection and Stance Detectionmentioning

confidence: 99%

Dependency Syntax in the Automatic Detection of Irony and Stance

Cignarella¹

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To all the people who inspired me and supported me during this amazing and life-changing journey.To myself. 1 1 I started writing the first version of this dissertation during the first health emergency lockdown due to the outbreak of the Covid-19 pandemic in Italy (starting from March 2020). I was able to submit the first draft in April 2021, and I later received the comments of reviewers around July 2021. The final (and current) version of the thesis has been registered in September 2021.

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On Language and Structure in Polarized Communities

Cited by 2 publications

References 55 publications

Political Advertising Dataset: the use case of the Polish 2020 Presidential Elections

Political Advertising Dataset: the use case of the Polish 2020 Presidential Elections

Dependency Syntax in the Automatic Detection of Irony and Stance

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