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Julian Unkel

Researcher at Ludwig Maximilian University of Munich

Publications -  17
Citations -  367

Julian Unkel is an academic researcher from Ludwig Maximilian University of Munich. The author has contributed to research in topics: Credibility & Social media. The author has an hindex of 6, co-authored 15 publications receiving 231 citations. Previous affiliations of Julian Unkel include Bavarian Academy of Sciences and Humanities.

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Book ChapterDOI

Processing the News: How People Tame the Information Tide

TL;DR: In this article, Doris A. Graber widmet sie sich den Prozessen der Informationsselektion und -verarbeitung bei der Nachrichtenrezeption.
Journal ArticleDOI

An Agenda for Open Science in Communication

Tobias Dienlin, +38 more
TL;DR: In this paper, the authors propose an agenda for adopting open science practices in communication, which includes the following seven suggestions: (1) publish materials, data, and code; (2) preregister studies and submit registered reports; (3) conduct replications; (4) collaborate; (5) foster open science skills; (6) implement Transparency and Openness Promotion Guidelines; and (7) incentivize open science practice.
Journal ArticleDOI

The effects of credibility cues on the selection of search engine results

TL;DR: Of the three credibility cues, only reputation had an additional effect on selection probabilities of search engine results, and personal characteristics did not influence the preference for search results linked with certain credibility cues.
Journal ArticleDOI

Ranking versus reputation: perception and effects of search result credibility

TL;DR: An interaction effect between the type of website and the primary source of information is found, however, participants’ selection was mainly influenced by the ranking, and reasons for this discrepancy are discussed.
Journal ArticleDOI

Googling Politics: Parties, Sources, and Issue Ownerships on Google in the 2017 German Federal Election Campaign:

TL;DR: In this paper, the authors argue that while the Internet allows for broader information through greater media choices, algorithmic filters, such as search engines, threaten to threaten the integrity of democratic election campaigns.