“Can I write this is ableist AF in a peer review?”: A corpus-driven analysis of Twitter engagement strategies across disciplinary groups

Keyphrases

• Audience Engagement 20%
• Close Reading 20%
• Computational Methods 20%
• Copyright 20%
• Corpus Analysis 100%
• Corpus Methods 20%
• Disciplinary Variation 20%
• Engagement Rate 40%
• Engagement Strategies 100%
• Explicit Evaluation 20%
• High Engagement 20%
• Interactional Markers 20%
• Knowledge Dissemination 20%
• Life Sciences 80%
• Multimodal Information 20%
• Non-expert 20%
• Number of Threads 20%
• Peer Review 100%
• Physical Science 40%
• Popular Science 20%
• Public Knowledge 20%
• Science Communication 20%
• Science Communication Training 20%
• Social Media Platforms 20%
• Social Media Presence 20%
• Social Sciences 80%
• Tweets 60%
• Twitter 100%
• Twitter Account 20%

Arts and Humanities

• art group 25%
• Awareness 25%
• Close reading 25%
• Communication training 25%
• Corpus 100%
• Dissemination 25%
• Engagement 100%
• English 25%
• Interactive 25%
• Media Platform 25%
• Multi-modal 100%
• Peer Review 100%
• Physical Science 50%
• Popularization 25%
• Scholars 50%
• Science Communication 50%
• Social Science 100%

Social Sciences

• Public Knowledge 25%