Zobrazeno 1 - 10
of 265
pro vyhledávání: '"Malthouse, P."'
The proliferation of fake news in the digital age has raised critical concerns, particularly regarding its impact on societal trust and democratic processes. Diverging from conventional agent-based simulation approaches, this work introduces an innov
Externí odkaz:
http://arxiv.org/abs/2410.13909
In the current digital era, the rapid spread of misinformation on online platforms presents significant challenges to societal well-being, public trust, and democratic processes, influencing critical decision making and public opinion. To address the
Externí odkaz:
http://arxiv.org/abs/2405.01593
Autor:
Pearson, Stewart, Malthouse, Edward
This editorial outlines an expanded scope for the next (fifth) generation of integrated marketing communication. It identifies key market forces that gave rise to this evolution and describes a trajectory of where Integrated Marketing Communication (
Externí odkaz:
http://arxiv.org/abs/2404.04740
News recommendation systems (RS) play a pivotal role in the current digital age, shaping how individuals access and engage with information. The fusion of natural language processing (NLP) and RS, spurred by the rise of large language models such as
Externí odkaz:
http://arxiv.org/abs/2311.05850
This article builds a model to forecast the number of newspapers that will exist in each US county in 2028, based on what is known about each county in 2023. The methodology is to use information known in 2018 to predict the number of newspapers in 2
Externí odkaz:
http://arxiv.org/abs/2311.04708
A Preliminary Study of ChatGPT on News Recommendation: Personalization, Provider Fairness, Fake News
Online news platforms commonly employ personalized news recommendation methods to assist users in discovering interesting articles, and many previous works have utilized language model techniques to capture user interests and understand news content.
Externí odkaz:
http://arxiv.org/abs/2306.10702
Online news platforms often use personalized news recommendation methods to help users discover articles that align with their interests. These methods typically predict a matching score between a user and a candidate article to reflect the user's pr
Externí odkaz:
http://arxiv.org/abs/2304.07862
This paper proposes a vision and research agenda for the next generation of news recommender systems (RS), called the table d'hote approach. A table d'hote (translates as host's table) meal is a sequence of courses that create a balanced and enjoyabl
Externí odkaz:
http://arxiv.org/abs/2103.06909
Recommendation and ranking systems are known to suffer from popularity bias; the tendency of the algorithm to favor a few popular items while under-representing the majority of other items. Prior research has examined various approaches for mitigatin
Externí odkaz:
http://arxiv.org/abs/2103.06364
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