The effects of algorithmic content selection on user engagement with news on Twitter
研究了Twitter在2016年从逆序时间线转为算法推荐后，德国报纸推文的点赞和转发分别增加20%和15%，且初始热度高的内容和煽情新闻获益更多。
In this article, we investigate how Twitter’s switch from a reverse-chronological timeline to algorithmic content selection in March 2016 influenced user engagement with tweets published by German newspapers. To mitigate concerns about omitted variables, we use the Facebook postings of these newspapers as a counterfactual. We find that the number of likes increased by 20% and the number of retweets by 15% within a span of 30 days after the switch. Importantly, our results indicate a rich-get-richer effect, implying that initially more popular outlets and news topics benefited the most. User engagement also increased more for sensationalist content than quality news stories.