Data Linking - Linking survey data with geospatial, social media, and sensor data

Beuthner, Christoph; Breuer, Johannes; Jünger, Stefan

doi:10.15465/gesis-sg_en_039

Cited by 2 publications

(3 citation statements)

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“…Following this proposal, Figure 4 -which is based on a similar model for social media data by Beuthner et al (2021) -illustrates a generic workflow that reflects systematic processing as described by Sloan et al (2020). We suggest that the web tracking and survey data should also be kept separate and only combined when this is required for specific analyses.…”

Section: Systematic Processingmentioning

confidence: 99%

“…Accordingly, an approach that has recently gained traction in the social sciences is combining web tracking with survey data (see Stier et al, 2020). To leverage the strengths of both types of data and address their respective limitations, web tracking and survey data can be combined for innovative research designs (see Beuthner et al 2021;Breuer and Hegedüs, 2021;Stier et al, 2020 for general discussions and recommendations of/for this methodological approach).…”

Section: Introductionmentioning

confidence: 99%

“…Figure 4 Proposed general workflow for working with combined survey and web tracking data based on the model byBeuthner et al (2021) …”

mentioning

confidence: 99%

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Publishing Combined Web Tracking and Survey Data

Munzert¹,

Ramirez-Ruiz²,

Watteler³

et al. 2023

Preprint

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Combined survey and web tracking data have great potential for social-scientific research. They allow linking information on online behavior with data on reported offline behavior, opinions, and attitudes. At the same time, ethical, legal, and technical challenges make it difficult to disseminate linked web tracking data to the scientific community. This whitepaper aims to address these challenges by providing guidance for researchers and archivists, discussing legal, practical, and ethical aspects, disclosure risks, and establishing a framework for publishing web tracking data. Recommendations for best practices are also provided based on experiences from a research project funded by the German Consortium for the Social, Behavioural, Educational and Economic Sciences.

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Section: Systematic Processingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Publishing Combined Web Tracking and Survey Data

Munzert¹,

Ramirez-Ruiz²,

Watteler³

et al. 2023

Preprint

View full text Add to dashboard Cite

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Who polarizes Twitter? Ideological polarization, partisan groups and strategic networked campaigning on Twitter during the 2017 and 2021 German Federal elections 'Bundestagswahlen'

Darius

2022

Soc. Netw. Anal. Min.

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Political campaign activities are increasingly digital. A crucial part of digital campaigning is communication efforts on social media platforms. As a forum for political discourse and political communication, parties and candidates on Twitter share public messages and aim to attract media attention and persuade voters. Party or prominent candidate hashtags are a central element of the campaign communication strategy since journalists and citizens search for these hashtags to follow the current debate concerning the hashed party or political candidate. Political elites and partisans use social media strategically, e.g., to link their messages to a broader debate, increase the visibility of messages, criticize other parties, or take over their hashtags (hashjacking). This study investigates the cases of the most recent 2017 and 2021 German federal elections called 'Bundestagswahlen'. The investigation (1) identifies communities of partisans in retweet networks in order to analyze the polarization of the most prominent hashtags of parties, 2) assesses the political behavior by partisan groups that amplify messages by political elites in these party networks, and 3) examines the polarization and strategic behavior of the identified partisan groups in the broader election hashtag debates using #BTW17 and #BTW21 as the prominent hashtags of the 2017 and 2021 elections. While in 2017, the far-right party 'Alternative für Deutschland' (AfD) and its partisans are in an isolated community, in 2021, they are part of the same community as the official party accounts of established conservative and liberal parties. This broader polarization may indicate changes in the political ideology of these actors. While the overall activity of political elites and partisans increased between 2017 and 2021, AfD politicians and partisans are more likely to use other party hashtags, which resulted in the polarization of the observed parts of the German political twitter sphere. While in 2017, the AfD polarized German Twitter, 2021 shows a broader division along the classical left–right divide.

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Data Linking - Linking survey data with geospatial, social media, and sensor data

Cited by 2 publications

References 0 publications

Publishing Combined Web Tracking and Survey Data

Publishing Combined Web Tracking and Survey Data

Who polarizes Twitter? Ideological polarization, partisan groups and strategic networked campaigning on Twitter during the 2017 and 2021 German Federal elections 'Bundestagswahlen'

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