Statistical Analysis of Emotions and Opinions at Digg Website
P. Pohorecki a, J. Sienkiewicza, M. Mitrović b, G. Paltoglouc and J.A. Hołyst a
aFaculty of Physics, Center of Excellence for Complex Systems Research, Warsaw University of Technology, Koszykowa 75, PL-00-662 Warsaw, Poland
bDepartment of Theoretical Physics, Jožef Stefan Institute, P.O. Box 3000, 1001 Ljubljana, Slovenia
cStatistical Cybermetrics Research Group, School of Technology, University of Wolverhampton, Wulfruna Str., WV1 1LY Wolverhampton, United Kingdom
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We performed statistical analysis on data from the website, which enables its users to express their opinion on news stories by taking part in forum-like discussions as well as to directly evaluate previous posts and stories by assigning so called "diggs". Owing to fact that the content of each post has been annotated with its emotional value, apart from the strictly structural properties, the study also includes an analysis of the average emotional response of the comments about the main story. While analysing correlations at the story level, an interesting relationship between the number of diggs and the number of comments that a story received was found. The correlation between the two quantities is high for data where small threads dominate and consistently decreases for longer threads. However, while the correlation of the number of diggs and the average emotional response tends to grow for longer threads, correlations between numbers of comments and the average emotional response are almost zero. We also suggest presence of two different mechanisms governing the evolution of the discussion and, consequently, its length.

DOI: 10.12693/APhysPolA.123.604
PACS numbers: 02.50.-r, 07.05.Hd, 89.20.Hh, 89.70.Cf