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Political actors utilize various channels to set their political agenda, including social media platforms such as Twitter (now <jats:italic>X<\/jats:italic>). Political agenda-setting can be influenced by anonymous user-generated content following the Bright Internet. This is why speech acts, experts, users with affiliations and parties through annotated Tweets were analyzed in this study. In doing so, the agenda formation during the 2019 European Parliament Election in Germany based on the agenda-setting theory as our theoretical framework, was analyzed. A prediction model was trained to predict users\u2019 voting tendencies based on three feature categories: social, network, and text. By combining features from all categories logistical regression leads to the best predictions matching the election results. The contribution to theory is an approach to identify agenda formation based on our novel variables. For practice, a novel approach is presented to forecast the winner of events.<\/jats:p>","DOI":"10.1007\/s10796-024-10568-w","type":"journal-article","created":{"date-parts":[[2024,12,23]],"date-time":"2024-12-23T04:10:51Z","timestamp":1734927051000},"page":"1425-1443","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Agenda Formation and Prediction of Voting Tendencies for European Parliament Election using Textual, Social and Network Features"],"prefix":"10.1007","volume":"27","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6168-0132","authenticated-orcid":false,"given":"Gautam Kishore","family":"Shahi","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0009-0003-1801-2667","authenticated-orcid":false,"given":"Ali Sercan","family":"Basyurt","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4366-1840","authenticated-orcid":false,"given":"Stefan","family":"Stieglitz","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0892-610X","authenticated-orcid":false,"given":"Christoph","family":"Neuberger","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2024,12,23]]},"reference":[{"key":"10568_CR1","doi-asserted-by":"publisher","first-page":"80","DOI":"10.1016\/j.cities.2019.01.032","volume":"89","author":"Z Allam","year":"2019","unstructured":"Allam, Z., & Dhunny, Z. 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Overall, we have focused on the following points-  While collecting the data, we followed the data collection policy of Twitter (now X).  We collected publicly available data like profile information and Tweets; it is only used for research purposes, without looking at personal details or any commercialization.  For the analysis, we have not provided any preference for data from any political party.  The data is not considered to be sensitive or confidential in nature;  Vulnerable or dependent groups are not included;  Following the data-sharing policy of Twitter (now X), we will only share the Tweet ID and our method for the replication to other events or platforms.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethics Approval and Consent to Participate"}},{"value":"All co-authors have approved the content of the manuscript. All authors have given explicit consent to publish this manuscript. The work described in this manuscript (approximately 9246 words) is original work and prepared for submission to the special issue of the Information Systems Frontiers journal. This manuscript is not under consideration for publication anywhere else.","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Consent for Publication"}}]}}