Auflistung nach Schlagwort "social media"
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- ZeitschriftenartikelArgument parsing via corpus queries(it - Information Technology: Vol. 63, No. 1, 2021) Dykes, Natalie; Evert, Stefan; Göttlinger, Merlin; Heinrich, Philipp; Schröder, LutzWe present an approach to extracting arguments from social media, exemplified by a case study on a large corpus of Twitter messages collected under the #Brexit hashtag during the run-up to the referendum in 2016. Our method is based on constructing dedicated corpus queries that capture predefined argumentation patterns following standard Walton-style argumentation schemes. Query matches are transformed directly into logical patterns, i. e. formulae with placeholders in a general form of modal logic. We prioritize precision over recall, exploiting the fact that the sheer size of the corpus still delivers substantial numbers of matches for all patterns, and with the goal of eventually gaining an overview of widely-used arguments and argumentation schemes. We evaluate our approach in terms of recall on a manually annotated gold standard of 1000 randomly selected tweets for three selected high-frequency patterns. We also estimate precision by manual inspection of query matches in the entire corpus. Both evaluations are accompanied by an analysis of inter-annotator agreement between three independent judges.
- DissertationA European Perspective on Crisis Informatics: Citizens’ and Authorities’ Attitudes Towards Social Media for Public Safety and Security(2022) Reuter, ChristianMobilising helpers in the event of a flood or letting friends know that you are okay in the event of a terrorist attack – more and more people are using social media in emergency, crisis or disaster situations. Storms, floods, attacks or pandemics (esp. COVID-19) show that citizens use social media to inform themselves or to coordinate. This book presents qualitative and quantitative studies on the attitudes of emergency services and citizens in Europe towards social media in emergencies. Across the individual sub-studies, almost 10,000 people are surveyed including representative studies in the Netherlands, Germany, the UK and Italy. The work empirically shows that social media is increasingly important for emergency services, both for prevention and during crises; that private use of social media is a driving force in shaping opinions for organisational use; and that citizens have high expectations towards authorities, especially monitoring social media is expected, and sometimes responses within one hour. Depending on the risk culture, the data show further differences, e.g. whether the state (Germany) or the individual (Netherlands) is seen as primarily responsible for coping with the situation.
- ZeitschriftenartikelExploring the evolving landscape of human-centred crisis informatics: current challenges and future trends(i-com: Vol. 23, No. 2, 2024) Kaufhold, Marc-AndréModern Information and Communication Technology (ICT) has been used in safety-critical situations for over twenty years. Rooted in Human-Computer Interaction (HCI) and related disciplines, the field of crisis informatics made considerable efforts to investigate social media use and role patterns in crises, facilitate the collection, processing and refinement of social media data, design and evaluate supportive ICT, and provide cumulative and longitudinal research. This narrative review examines contemporary challenges of human-centred crisis informatics and envision trends for the following decade, including (I) a broadening scope of crisis informatics, (II) the professionalisation of cross-platform collaboration of citizen communities and emergency services, (III) expert interfaces for explainable and multimodal artificial intelligence for user-generated content assessment, (IV) internet of things and mobile apps for bidirectional communication and warnings in disruption-tolerant networks, as well as (V) digital twins and virtual reality for the effective training of multi-agency collaboration in hybrid hazards.
- KonferenzbeitragI know who you are: Deanonymization using Facebook Likes(Workshops der INFORMATIK 2018 - Architekturen, Prozesse, Sicherheit und Nachhaltigkeit, 2018) Rüdian, Sylvio; Pinkwart, Niels; Liu, ZhiThis paper presents a method to deanonymize people using fanpages’ Likes of Facebook users. The strategy shows that information of Likes can be easily crawled from Facebook. Combined with an interactive version of browser-history-stealing it can be used to get identities of users on a website. The attack is possible because of the existence of Facebook’ Likes that can be used as a fingerprint. The claim was tested and discussed with real-world collected data. With the assumption of at least 4 collected Likes per user, 99.91% of them can be deanonymized through the fingerprint of Likes. Apart from that we provide potential solutions for protection of identities in social media.
- KonferenzbeitragQuotable Signatures using Merkle Trees(INFORMATIK 2019: 50 Jahre Gesellschaft für Informatik – Informatik für Gesellschaft, 2019) Kreutzer, Michael; Niederhagen, Ruben; Shrishak, Kris; Fhom, Hervais SimoFake news have been around since time immemorial. But the widespread reach and the rate of propagation through social media websites makes the issue of fake news a grave concern. We propose to address the issue of fake news through the use of quotable signatures using Merkle trees to verify news shared on social media websites.
- ZeitschriftenartikelWissenschaftskommunikation und Social Media: Grenzaufbruch und Vertrauensmerkmale(i-com: Vol. 9, No. 3, 2010) Schmirmund, JanDer vorliegende Beitrag befasst sich mit dem, durch Social Media induzierten, Aufbruch der Grenzen zwischen interner und externer Wissenschaftskommunikation und beschreibt die Kontextualisierung von Social Media Formaten in die Wissenschaftskommunikation durch Setzen von Vertrauensmerkmalen. Der Beitrag kommt zu dem Schluss, dass durch vermehrten Einsatz von Social Media, bisher klare Grenzen zwischen interner und externer Wissenschaftskommunikation verschwimmen und aufgrund fehlender Formalisierungen von in Social Media veröffentlichten Beiträgen, ein Problem der Kontextualisierung in den Bereich seriöser Wissenschaft auftritt. Es ist zu beobachten, dass diesem Problem durch das Setzen von Vertrauen erzeugenden Merkmalen entgegengewirkt wird.