@inproceedings{8ee4b1933dbb45418dd7c2446614f592,
title = "The Impact of Social vs. Non-Social Referral Sources on Online News Consumption",
abstract = "As news consumption shifts online, referring channels assume a growing role in the market for online news, creating new challenges and opportunities for news organizations. This research combines field and lab experiments, and analysis of large-scale clickstream data, to study the effects of social versus non-social referral sources on news consumption on a news outlet{\^a}€{\texttrademark}s website. We propose that referring channels create a new type of priming effect, denoted the referral effect, as unique features of the referring channel affect user behavior in a subsequent news visit. We find that social referral effects manifest as more focused reading {\^a}€“ visits with fewer articles, shorter durations, yet higher reading completion rates - compared to non-social referrals. We further find lower sharing rates following social media referrals, likely due to a lower perceived novelty to peers of content discovered via social channels. The results provide insights applicable to news outlets{\^a}€{\texttrademark} social media strategies.",
keywords = "Field experiment, Online News Consumption, Social media",
author = "Sagit Bar-Gill and Yael Inbar and Shachar Reichman",
year = "2018",
language = "الإنجليزيّة",
isbn = "9780996683159",
series = "ICIS 2017: Transforming Society with Digital Innovation",
publisher = "Association for Information Systems",
booktitle = "ICIS 2017",
address = "الولايات المتّحدة",
note = "38th International Conference on Information Systems: Transforming Society with Digital Innovation, ICIS 2017 ; Conference date: 10-12-2017 Through 13-12-2017",
}