Sökning: "Personalisation algorithm"

Hittade 4 uppsatser innehållade orden Personalisation algorithm.

1. 1. How does algorithmic literacy challenge the utilisation of TikTok for global marketers, taking into account ethical concerns?

   Magister-uppsats, Lunds universitet/Företagsekonomiska institutionen

   Författare :Phuong Vo Hoang Hoai; Natalie Klimecka; [2023]
   Nyckelord :TikTok algorithm; Algorithmic literacy; Social media marketing; Personalisation; Marketing ethics; Ethical decision-making; Business and Economics;

   Sammanfattning : Thesis purpose: To investigate the role of algorithmic literacy in the case of TikTok, and how its strategic performance, including the challenges and associated ethical issues, affects global marketers. Methodology: Adapting a social constructivist approach, twelve qualitative semi-structured interviews with global marketers allowed us to gather deeper insights Theoretical perspective: In order to fulfill the above objective, the study looks at literature streams in social media algorithms and algorithmic literacy, as well as adopts scholarship in marketing ethics and socio-psychological concepts concerning consumer behaviour and decision making processes. LÄS MER

3. 2. Computational Scaling of Party Cohesion in Social Media: A Case Study on Twitter Campaigns in Brazil

   Kandidat-uppsats, Lunds universitet/Statsvetenskapliga institutionen

   Författare :Emma Olivia Baker; [2022]
   Nyckelord :party cohesion; Brazil; social media; political campaigns; Wordfish; Social Sciences;

   Sammanfattning : This thesis explores party cohesion in politicians’ social media campaigns in the context of Brazil. It highlights the importance of studying the interaction between digitalisation of political communication and the party system in developing democracies. Brazil makes an interesting case as it is known for its exceptionally unstable party system. LÄS MER

4. 3. Qualitative experiences of personalization algorithms : The strategies used by university students (to counteract ideological homogeneity) when navigating social media feeds and their experience with personalization algorithms.

   Kandidat-uppsats,

   Författare :Mathilda Bjernersjö; Alicia Wikdahl; [2020]
   Nyckelord :Echo chamber; Social media; Filter bubble; Personalisation algorithm;

   Sammanfattning : Purpose – At the beginning of this year the number of social media user worldwide was recorded to be at 3.80 billion and is estimated to keep rising (Kemp, 2020). Along with this connectivity, new concepts have been acknowledged that have caused some controversy. These concepts have been named echo chambers and filter bubbles. LÄS MER

5. 4. Filter Bubble Effects on Deliberative Democracy? – A Realist Synthesis of Empirical Research

   Master-uppsats, Lunds universitet/Institutionen för strategisk kommunikation

   Författare :Jonas Wisbrant; [2016]
   Nyckelord :Social Sciences;

   Sammanfattning : In 2011 Eli Pariser coined the term ‘filter bubble’ and warned that online algorithm driven filters based on users’ click behaviour, would risk to reduce the diversity of public discourses and thereby deliberative democracy. Through the multidisciplinary and iterative Realist Synthesis method, the aim of the study has been to synthesise empirically based understanding of how online algorithm driven filter bubbles affect public discourses and deliberative democracies. LÄS MER