6 research outputs found
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The loyal editor effect: Russian online journalism after independence
This is the author accepted manuscript. The final version is available from Taylor & Francis via https://doi.org/10.1080/1060586X.2016.1200797This article investigates what effect pressure from owners - via loyal editors, had on journalistic output at the popular Russian online newspapers Lenta and Gazeta. Using novel methods to analyse a dataset of nearly 1 million texts from the period 2010-2015, this article separates the effect of a changing news agenda from new editorial priorities. Statistical tests show that changes in output coincide temporally with editorial change, and that the direction of change sees new editors move away from publication patterns associated with other independent outlets. In both Gazeta and Lenta, editorial changes were accompanied by a move away from core news areas such as domestic and international politics, towards lifestyle and human interest subjects. The loyal editor effect resulted in a 50% reduction in coverage of controversial legal proceedings, together with the business dealings of Russian elites
Deliberation and Identity Rules : The Effect of Anonymity, Pseudonyms and Real-Name Requirements on the Cognitive Complexity of Online News Comments
How do identity rules influence online deliberation? We address this question by drawing on a data set of 45 million comments on news articles on the Huffington Post from January 2013 to May 2015. At the beginning of this period, the site allowed commenting under what we call non-durable pseudonyms. In December 2013, Huffington Post moved to regulate its forum by requiring users to authenticate their accounts. And in June 2014, Huffington Post outsourced commenting to Facebook altogether, approximating a ‘real-name’ environment. We find a significant increase in the cognitive complexity of comments (a proxy for one aspect of deliberative quality) during the middle phase, followed by a decrease following the shift to real-name commenting through Facebook. Our findings challenge the terms of the apparently simple trade-off between the goods and bads of anonymous and real-name environments and point to the potential value of durable pseudonymity in the context of online discussion
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Files supporting "Talking Politics on Social Media"
This repository includes a description of the files needed to replicate the findings reported in 'Talking Politics on Social Media' by Rolf Fredheim and Alfred Moore --README.txt --anon.Rdata Rdata file containing deidentified commenting data needed to reproduce main figures and findings reported in the paper. --reproduction.py script used to identify reason-giving, agreement, disagreement, and insults. This script requires Python 2, version 2.5 or higher, and the modules codecs, ner, pyenchant, re, and urllib2. --suppMat.Rmd: R markdown file used to generate the supplementary materials. It includes examples of comments identified as positive matches, as well as the code necessary to recreate figures, statistical tests, etc. This script requires the following packages: data.table, ggthemes, ggplot2, gridExtra, knitr, Rmisc, and scales. The supplementary materials were compiled through Rstudio 0.99.484 on a computer running Ubuntu 14.04 with a full installation of TeX and Pandoc. TeX set up for debian based systems: apt-get install libcairo2-dev pandoc textlive texlive-latex-extra texlive-fonts-extra texlive-xetexThis record will be updated with publication detail