Repozitorij samostojnih visokošolskih in višješolskih izobraževalnih organizacij

Iskanje po repozitoriju
A+ | A- | Pomoč | SLO | ENG

Iskalni niz: išči po
išči po
išči po
išči po

Možnosti:
  Ponastavi


1 - 3 / 3
Na začetekNa prejšnjo stran1Na naslednjo stranNa konec
1.
Bias prediction in multilingual news reporting : doctoral dissertation
Swati Swati, 2024, doktorska disertacija

Ključne besede: news media, natural language processing, doctoral dissertations
Objavljeno v ReVIS: 17.04.2026; Ogledov: 2069; Prenosov: 1
.pdf Celotno besedilo (14,18 MB)

2.
The false information epidemic in social media : overview of recent developments and research
Blaž Rodič, 2024, objavljeni povzetek znanstvenega prispevka na konferenci

Opis: Throughout history, crises in human society have often been accompanied by unintentional (misinformation) as well as deliberate (disinformation) spread of false information, dating back to ancient Egypt. However, the rise of online social networks has brought the magnitude of the so-called 'fake news' phenomenon to an unprecedented size. The World Economic Forum identifies disinformation as one of the foremost threats to human society. In our digital society, the rapid and widespread propagation of false information poses significant challenges to democratic processes. This contribution provides an overview of research on the spread of false informationon social networks, with a focus on major global crises such as the U.S. elections, the Covid-19 pandemic, and the war in Ukraine, and presents the results of our ongoing research project in this area.
Ključne besede: social media, misinformation, disinformation, fake news, simulation modelling
Objavljeno v ReVIS: 14.04.2025; Ogledov: 1018; Prenosov: 2
URL Povezava na datoteko

3.
Social media bot detection research : review of literature
Blaž Rodič, 2025, strokovni članek

Opis: This study presents a review of research on social media bot detection. Social media bots are used by political and criminal actors for mass distribution of political messages, as well as rumors, conspiracy theories, and other forms of false information. Through the spread of disinformation, bots are eroding the public trust in political and media institutions and integrity of social media. We have examined recent research publication in the field of social media bot detection, including several previous reviews of bot detection research, and identified the methods used in bot detection and issues encountered by researchers. Our review was conducted through a search of 5 main bibliographical databases, which has produced a total of 534 research papers and other publications. This collection was then filtered with exclusion and inclusion criteria to isolate the most pertinent documents, resulting in a focused selection of 49 documents that were analyzed for this review. In the first part of the paper we introduce the phenomenon of fake news within social networks, its connection with social media bot activity, and conclude the introduction with issues caused or exacerbated by bots. In the main part of this paper we first present the results of statistical analysis of the reviewed documents and then introduce the field of social media bot research, followed by an overview of the issues of social media bot detection identified in the reviewed literature, including the evolution of bot concealment techniques and the methodological issues presented in some of the bot detection studies. We then proceed with an overview of the methods and results from the reviewed research papers, structured according to the main methodology used in the examined studies. Our review concludes with examination of the recent trends in social media bot development and related bot detection research.
Ključne besede: social media, social networks, social media bots, Twitter bots, bot detection, misinformation, disinformation, fake news
Objavljeno v ReVIS: 14.04.2025; Ogledov: 1169; Prenosov: 4
URL Povezava na datoteko

Iskanje izvedeno v 0.05 sek.
Na vrh