Dimensions of leadership and social influence in online communities

By Daniel Diermeier, Noshir S. Contractor, David A. Huffaker. 2010

373 citations recorded by the source corpus.

Subfields: Communication, Human-Computer Interaction

View Paper: https://www.semanticscholar.org/paper/97ec180809c126871eeefe40e507830fdbb71374

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Communication

1. Stefan Stieglitz
2. Axel Bruns
3. Linh Dang-Xuan
4. Katrin Weller

In Human-Computer Interaction

1. Linh Dang-Xuan
2. Stefan Stieglitz

Citations in the corpus

• Political Communication and Influence through Microblogging--An Empirical Analysis of Sentiment in Twitter Messages and Retweet Behavior (2012, background): “Additionally, Huffaker [18] provided evidence for the concept of language diffusion in online communities: the more often people used words that express affect, the more of the words they used were repeated in subsequent replies.”
• Towards more systematic Twitter analysis: metrics for tweeting activities (2013, background): “For online communication, Huffaker (2010) provides evidence of sentiment diffusion, showing how messages containing positive (or negative) emotions and words are likely to receive verbal responses which also express positive (or negative) emotions.”
• Emotions and Information Diffusion in Social Media—Sentiment of Microblogs and Sharing Behavior (2013, background): “for example, huffaker [34] showed that, in discussion forums, people who use affective language in their messages receive more feedback than those who do not.”