Sökning: "social media analytics"

Visar resultat 1 - 5 av 26 uppsatser innehållade orden social media analytics.

  1. 1. Prevalent Discord. Exploring and estimating the prevalence of the type of user disagreement on news media Facebook posts discussing the Colombian peace process (2020-2022)

    Master-uppsats, Lunds universitet/Graduate School

    Författare :Luis Felipe Villota Macias; [2024]
    Nyckelord :Agonistic peace; antagonism; big data analytics; binary logistic regression; computational content analysis; Colombia; Colombian peace process; discord; Facebook; machine learning; peace process; public opinion and sentiment; social media; Law and Political Science; Social Sciences;

    Sammanfattning : This thesis is dedicated to exploring and understanding public reactions within negotiated peace settlements based on social media data. Concretely, to modeling public opinion and sentiment within the context of the Colombian peace process using a curated dataset of N= ~1. LÄS MER

  3. 2. Blinka lilla redaktionsskärm där, hur journalisten undrar var läsaren är : en intervjustudie om hur läsardata påverkar svensk nyhetsjournalistik

    Kandidat-uppsats, Lunds universitet/Journalistik

    Författare :Johan Funeskog; Christopher Johansson; [2024]
    Nyckelord :journalism; gatekeeping; professional norms and ideals; commercialisation; reader analytics; digitalization; Social Sciences;

    Sammanfattning : The aim of this thesis is to investigate the effects of reader analytics on the individual journalist as well as the journalistic profession. For this goal the research question: How does access to reader analytics affect Swedish journalism? is asked, which will be answered through the following sub-questions: (F1) How does reader analytics affect journalistic norms?, and (F2) Does reader analytics affect journalistic decisions as well as the the daily work on Swedish dailys? The inquiry is situated within a growing body of literature on the subject of the use of reader, and user analytics within news, and media industries. LÄS MER

  4. 3. Vem eller vad kan hållas straffrättsligt ansvarig för ett självkörande fordon? : En analys av gällande rätt och föreslagen lagstiftning i Sverige

    Uppsats för yrkesexamina på avancerad nivå, Stockholms universitet/Juridiska institutionen

    Författare :Petri Dahlström; [2023]
    Nyckelord :Self-driving; autonomous; automated; automatic; AV; vehicles; cars; artificial intelligence; AI; machine learning; electronic person; criminal liability; Självkörande; autonoma; automatiserade; artificiell intelligens; AI; maskininlärning; elektronisk person; fordon; bilar; straffrättsligt ansvar; ansvarsbedömning;

    Sammanfattning : The last decade has seen a rapid advancement in the fields of artificial intelligence (AI) and automation, with terms such as machine learning, deep learning and algorithms finding their way into everyday conversations. The usage of AI is evergrowing and present in many areas of life such as health care, financial services, and social media interactions. LÄS MER

  5. 4. Extraction of Global Features for enhancing Machine Learning Performance

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Abyel Tesfay; [2023]
    Nyckelord :Machine Learning; Deep Learning; Feature Extraction; Global Features; Time-series data; Bioprocessing; Maskininlärning; Djupinlärning; Funktionsextraktion; Globala Funktioner; Tidsserie data; Biobearbetning;

    Sammanfattning : Data Science plays an essential role in many organizations and industries to become data-driven in their decision-making and workflow, as models can provide relevant input in areas such as social media, the stock market, and manufacturing industries. To train models of quality, data preparation methods such as feature extraction are used to extract relevant features. LÄS MER

  7. 5. Big Data Analytics Using Apache Flink for Cybercrime Forensics on X (formerly known as Twitter)

    Magister-uppsats, Högskolan i Halmstad/Akademin för informationsteknologi

    Författare :Manjunath Kakkepalya Puttaswamy; [2023]
    Nyckelord :Apache Flink; Apache Spark; Big Data; Twitter; X;

    Sammanfattning : The exponential growth of social media usage has led to massive data sharing, posing challenges for traditional systems in managing and analyzing such vast amounts of data. This surge in data exchange has also resulted in an increase in cyber threats from individuals and criminal groups. LÄS MER