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Edson C. Tandoc

Researcher at Nanyang Technological University

Publications -  165
Citations -  6062

Edson C. Tandoc is an academic researcher from Nanyang Technological University. The author has contributed to research in topics: Journalism & Social media. The author has an hindex of 28, co-authored 131 publications receiving 3922 citations. Previous affiliations of Edson C. Tandoc include National Institute of Education & University of the Philippines.

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Why Web Analytics Click

Edson C. Tandoc
- 02 Nov 2015 - 
TL;DR: Using structural equation modeling, this study finds that journalists' perception of competition in the field and their conceptions of the audience as a particular form of capital lead them to using Web analytics in particular ways.
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The Buzzfeedication of journalism? How traditional news organizations are talking about a new entrant to the journalistic field will surprise you!:

TL;DR: The authors analyzed how traditional news organizations perceived, defined, and represented BuzzFeed, a website that rose to online fame through aggregation of funny memes and cat videos but has since started producing investigative and long-form journalism pieces, heralding its formal entry into the journalistic field.
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The hybridization of journalistic cultures : a comparative study of journalistic role performance

TL;DR: This paper analyzed the presence of six journalistic roles in print news from 19 countries and found patterns of multilayered hybridization in the performance of professional roles across and within advanced, transitional, and non-democratic countries, with journalistic cultures displaying different types of hybridity that do not resemble either ideal media system typologies or conventional assumptions about political or regional clusters.
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Small Departures, Big Continuities?

TL;DR: In this article, a content analysis of big data journalism stories from The Guardian, a pioneer in contemporary Big Data journalism, was conducted to investigate how the practice of Big Data Journalism compares with traditional news values, norms, and routines.
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Media sources, credibility, and perceptions of science: Learning about how people learn about science

TL;DR: A multivariate model is developed and test to explain scientific knowledge based on past theories on learning from the news from the fields of political communication, sociology, and media psychology, showing that interest in science not only directly predicts knowledge but also has indirect effects on knowledge through its effects on Internet use, confidence in the press, and perception of scientists.