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Elad Segev

Researcher at Tel Aviv University

Publications -  88
Citations -  1875

Elad Segev is an academic researcher from Tel Aviv University. The author has contributed to research in topics: Phase (matter) & Social media. The author has an hindex of 21, co-authored 75 publications receiving 1518 citations. Previous affiliations of Elad Segev include Hebrew University of Jerusalem & Keele University.

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Social Media and the Arab Spring: Politics Comes First

TL;DR: In this article, the authors place the role of social media in collective action within a more general theoretical structure, using the events of the Arab Spring as a case study, and present two broad theoretical principles.
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Synthesis and properties of nanocrystalline π-SnS – a new cubic phase of tin sulphide

TL;DR: In this article, the cubic phase of tin sulfide π-SnS was synthesized and compared to the α-snS phase, which is more stable than the ideal ideal rocksalt structure of SnS.
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Automatic jargon identifier for scientists engaging with the public and science communication educators.

TL;DR: The development and validation of the data produced by an up-to-date, scientist-friendly program for identifying jargon in popular written texts, based on a corpus of over 90 million words published in the BBC site during the years 2012–2015 are presented.
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Families and Networks of Internet Memes: The Relationship Between Cohesiveness, Uniqueness, and Quiddity Concreteness

TL;DR: This study employs a large-scale quantitative analysis to reveal structural patterns of internet memes, focusing on 2 forces that bind them together: the quiddities of each meme family and the generic attributes of the broader memetic sphere.
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Exploring new web-based tools to identify public interest in science

TL;DR: The potential and limitations of three existing web-based tools — Google Trends, Google Zeitgeist, and Google Insights for Search — for PUS research are described, showing how these tools can be used to identify interests in science and pseudoscience, and conduct a cross-national comparison of popular science and Pseudoscience-related searches.