Human Understanding and Detection of Social Bots

doi:10.17605/OSF.IO/36MKW

Title	Authors

Home

We aim to investigate what users know about social bots, to what extent they are aware of their existence, and, ultimately, which strategies they apply to detect them. Because prior knowledge on this is limited, we intend to answer these questions through qualitative (1) and quantitative (2) investigations. We want gain first insights into how well users detect social bots online. We specifically focus on the domain of political online communication, employing the psychological theory of motivated reasoning. We hypothesize that bot detection would be biased in order to support political attitudes, resulting in overconfidence and “blindness” towards bots that promote favored content, and skepticism and rejection towards bots promoting opposing views.

OSF does not support the use of Internet Explorer. For optimal performance, please switch to another browser.

This website relies on cookies to help provide a better user experience. By clicking Accept or continuing to use the site, you agree. For more information, see our Privacy Policy and information on cookie use.

Start managing your projects on the OSF today.

Free and easy to use, the Open Science Framework supports the entire research lifecycle: planning, execution, reporting, archiving, and discovery.

Create an Account Learn More Hide this message

Main content

Home

Menu

Start managing your projects on the OSF today.

Main content

Links to this project

Home

Menu

Add new wiki page

Page permissions have changed

Wiki page deleted

Connected to the collaborative wiki

Connecting to the collaborative wiki

Collaborative wiki is unavailable

Browser unsupported

Start managing your projects on the OSF today.