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DTSTART;VALUE=DATE:20231101
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UID:1871-1698796800-1698969599@nerds.itu.dk
SUMMARY:Ane at Kortdage
DESCRIPTION:Kvalitetsanalyser af de danske cykelstidata\nAne Rahbek Vierø\n\nDanmark kaldes ofte for en “cykelnation“\, men afspejler det sig også i vores cykeldata? Mange ønsker i dag at arbejde mere strategisk med udbygningen af cykelinfrastruktur – herunder at gøre brug af GIS-analyser af de nuværende cykelforhold – men de tilgængelige data er ofte af varierende eller ukendt kvalitet\, hvilket sår tvivl om anvendeligheden af data og analyser. \nIndlægget vil præsentere highlights fra en landsdækkende analyse af kvaliteten af cykelinfrastruktur byggende på GeoDanmark- og OpenStreetMap-data. Analysen er baseret på en nyt open-source værktøj udviklet til formålet. I præsentation vil vi give eksempler på\, hvordan man kan bruge kvalitetsanalyser til at forstå muligheder og begrænsninger i egne cykeldata\, og komme med ideer til\, hvordan kvalitetsanalyser kan understøtte anvendelsen af crowdsourcede datasæt. \nGodkendte Abstracts
URL:https://nerds.itu.dk/event/ane-at-kortdage/
CATEGORIES:NERDS away
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DTSTART;VALUE=DATE:20231128
DTEND;VALUE=DATE:20231201
DTSTAMP:20260421T093736
CREATED:20231215T124708Z
LAST-MODIFIED:20231215T124708Z
UID:1927-1701129600-1701388799@nerds.itu.dk
SUMMARY:Arianna at Complex Networks 2023
DESCRIPTION:The 12th International Conference on Complex Networks and their Applications\, Menton (French Riviera)\, 28-30 November 2023 \nExtended abstract 1 (poster): Tell Me Who You Are and I Will Predict Your Vulnerability to Political Persuasion Techniques w. Lucio La Cava and Alessia Antelmi\nGiven the evolving role of social media in political communication and the strategic use of these platforms by politicians to shape public opinion\, research has commonly focused on investigating computational propaganda as a means for automated information diffusion. Focusing on a less explored yet promising line\, we aim to assess political persuasion in digital contexts by introducing a computational framework that combines Natural Language Processing and Network Science methods to investigate the linkage between persuasion techniques on social media and personality traits of online political audiences. Our final goal is to enhance public awareness of political tactics and encourage critical thinking in response to the online spread of political information. \nExtended abstract 2 (lighting talk\, awarded as Best Lightning Talk): Finding Hidden Swingers in the 2022 Italian Elections Twitter Discourse w. Lucio La Cava and Alessia Antelmi\nThe volume of the Italian online political discourse on social media has recently increased\, but the coverage level does not compare with other Countries such as the US. Nonetheless\, researchers focused on studying polarization and homophily concerning political debates or investigating the role of populism in online engagement. In this research landscape\, the analysis of political preference shifts through social media remains to be explored. We aim to bridge this gap by examining the Twitter discourse during the 2022 Italian general elections\, with a specific emphasis on political “swingers”. In particular\, our findings indicate a stable political discourse in Italy\, yet they also uncover a growing presence of political swingers willing to shift their support to significantly different factions.
URL:https://nerds.itu.dk/event/arianna-at-complex-networks-2023/
CATEGORIES:NERDS away
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