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E-Poster

Technology in Social Work Education and Practice

Session: Effective bot detection and mitigation strategies in online survey research

Effective Bot Detection and Mitigation Strategies in Online Survey Research

Saturday, October 26, 2024

12:30 PM – 1:00 PM CT

Location: KC Convention Center, Poster 7A

Presenter(s)

Elaine M. Maccio, PhD, LCSW (she/her/hers)

Associate Professor, MSW Program Director, Associate Director of the School of Social Work
Louisiana State University
Baton Rouge, LA, United States
James Canfield (he/him/his)

Assistant Professor
Louisiana State University, United States

Survey bots are designed by programmers, motivated by research incentives and rewards, to find and complete online surveys en masse. This presentation discusses the latest strategies to detect and mitigate survey bots.

Learning Objectives:

describe survey bot phenomenon.
identify anti-bod and anti-fraud strategies.
differentiate between task-, question-, and data-based tools