What is she best known for?
The fields of study she is best known for:
- The Internet
- Social psychology
- Social science
Her main research concerns World Wide Web, Social media, Human–computer interaction, Visualization and Data visualization.
Karrie Karahalios is interested in Social network, which is a branch of World Wide Web.
Her work on Tie strength as part of general Social network study is frequently connected to Complement, therefore bridging the gap between diverse disciplines of science and establishing a new relationship between them.
Her work carried out in the field of Social media brings together such families of science as Algorithm, Social capital, Digital divide and Data science.
Karrie Karahalios has researched Human–computer interaction in several fields, including Mediated communication, Social relation and Conversation.
Her Visualization research incorporates elements of Natural language and Focus.
Her most cited work include:
- Predicting tie strength with social media (1116 citations)
- "I always assumed that I wasn't really that close to [her]": Reasoning about Invisible Algorithms in News Feeds (212 citations)
- Visualizing conversation (145 citations)
What are the main themes of her work throughout her whole career to date?
Her scientific interests lie mostly in Human–computer interaction, Visualization, World Wide Web, Multimedia and Social media.
Within one scientific family, Karrie Karahalios focuses on topics pertaining to Conversation under Human–computer interaction, and may sometimes address concerns connected to Dialog box, Salient and Collaborative software.
Her Visualization research integrates issues from Context, Cognitive psychology, Sensory cue and Data science.
Her Data science study combines topics in areas such as Variety and Data exploration.
Her study in the field of Social network is also linked to topics like Interface and Structure.
Her Social media research is multidisciplinary, incorporating elements of Control, The Internet, Interpersonal ties, Algorithm and Internet privacy.
She most often published in these fields:
- Human–computer interaction (24.00%)
- Visualization (23.43%)
- World Wide Web (20.57%)
What were the highlights of her more recent work (between 2018-2021)?
- Visualization (23.43%)
- Data science (11.43%)
- Internet privacy (6.29%)
In recent papers she was focusing on the following fields of study:
Karrie Karahalios focuses on Visualization, Data science, Internet privacy, Context and Software engineering.
Her research integrates issues of Cognitive psychology, Recall, Developmental psychology, Face and Facilitator in her study of Visualization.
Her Data science study incorporates themes from Data visualization and Data exploration.
She interconnects Control, Transparency and Social media in the investigation of issues within Internet privacy.
The study incorporates disciplines such as Portmanteau, Reciprocal and Moderation in addition to Social media.
Her Context research includes elements of Product category, Response time and Target audience.
Between 2018 and 2021, her most popular works were:
- User Attitudes towards Algorithmic Opacity and Transparency in Online Reviewing Platforms (31 citations)
- Trust and Recall of Information across Varying Degrees of Title-Visualization Misalignment (18 citations)
- You can't always sketch what you want : Understanding Sensemaking in Visual Query Systems (12 citations)
In her most recent research, the most cited papers focused on:
- The Internet
- Social psychology
- Artificial intelligence
The scientist’s investigation covers issues in Visualization, Internet privacy, Scalability, Recall and Cognitive psychology.
In her works, Karrie Karahalios conducts interdisciplinary research on Visualization and Anxiety.
The concepts of her Internet privacy study are interwoven with issues in Transparency and Transparency.
Her studies deal with areas such as Comprehension, Presentation, Storytelling, Interpretation and Misinformation as well as Recall.
Her biological study spans a wide range of topics, including Focus and Narrative.
Her Sketch research incorporates Natural language, User-centered design, Sensemaking, Data visualization and Data science.
This overview was generated by a machine learning system which analysed the scientist’s
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