Evidence of Online Performance Deterioration in User Sessions on Reddit
By Philipp Singer, Emilio Ferrara, Farshad Kooti, M. Strohmaier, Kristina Lerman. 2016
37 citations recorded by the source corpus.
This article presents evidence of performance deterioration in online user sessions quantified by studying a massive dataset containing over 55 million comments posted on Reddit in April 2015. After segmenting the sessions (i.e., periods of activity without a prolonged break) depending on their intensity (i.e., how many posts users produced during sessions), we observe a general decrease in the quality of comments produced by users over the course of sessions. We propose mixed-effects models that capture the impact of session intensity on comments, including their length, quality, and the responses they generate from the community. Our findings suggest performance deterioration: Sessions of increasing intensity are associated with the production of shorter, progressively less complex comments, which receive declining quality scores (as rated by other users), and are less and less engaging (i.e., they attract fewer responses). Our contribution evokes a connection between cognitive and attention dynamics and the usage of online social peer production platforms, specifically the effects of deterioration of user performance.
Subfields: Automotive Engineering, Civil and Structural Engineering, Control and Systems Engineering
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Citations in the corpus
- Can you Trust the Trend?: Discovering Simpson's Paradoxes in Social Data (2018, background): “However, despite accumulating evidence that Simpson’s paradox affects inference of trends in social and behavioral data [1, 2, 15, 19], researchers do not routinely test for it in their studies.”
- Computational social scientist beware: Simpson’s paradox in behavioral data (2017, background): “1 of [20]) or share the links with followers [21] (Fig.”
- Dynamics of Content Quality in Collaborative Knowledge Production (2017, methodology): “As this performance deterioration is similar to that observed recently on other platforms, such as Reddit (Singer et al .”