Data scientists require rich mental models of how AI systems behave to effectively train,
debug, and work with them. Despite the prevalence of AI analysis tools, there is no general …

The limited information (data voids) on political topics relevant to underrepresented
communities has facilitated the spread of disinformation. Independent journalists who …

Collaboratively writing a narrative is a challenging task. Further complications emerge when
the involved contributors do not know each other, as it commonly occurs in online …

Traditional approaches for ensuring high quality crowdwork have failed to achieve high-
accuracy on difficult problems. Aggregating redundant answers often fails on the hardest …

Expert investigators bring advanced skills and deep experience to analyze visual evidence,
but they face limits on their time and attention. In contrast, crowds of novices can be highly …

Sensemaking with large multimedia dataset is a cognitively intensive task that requires
analysts to understand the underlying stories that the dataset tells. Often, analysts use tools …

Investigators in fields such as journalism and law enforcement have long sought the public's
help with investigations. New technologies have also allowed amateur sleuths to lead their …

Online investigations are increasingly conducted by individuals with diverse skill levels and
experiences, with mixed results. Novice investigations often result in vigilantism or doxxing …

Writing is a common task for crowdsourcing researchers exploring complex and creative
work. To better understand how we write with crowds, we conducted both a literature review …

Multiple-view visualization (MV) has been heavily used in visual analysis tools for
sensemaking of data in various domains (eg, bioinformatics, cybersecurity and text …