Information Literacy Commons^™

Identifying Dis/Misinformation On Social Media: A Policy Report For The Diplomacy Lab Strategies For Identifying Mis/Disinformation Project, Bethany S. Mcgowan, Matthew Hannah, Sofia Babcock, Katelyn Biggs, Lara Chuppe, Christina Galiatsatos, Jannine Huby, Michael Kuczajda, Bennet Miller, Stephanie Perun, Amanda Shie, Alicia Stevance, Andrew Yason, Charlotte Yeung

Libraries Faculty and Staff Scholarship and Research

Dis/misinformation was a major concern in the 2016 U.S. presidential election and has only worsened in recent years. Even though domestic actors often spread dis/misinformation, actors abroad can use it to spread confusion and push their agenda to the detriment of American citizens. Even though this report focuses on actors outside the United States, the methods they use are universal and can be adapted to work against domestic agents. A solid understanding of these methods is the first step in combating foreign dis/misinformation campaigns and creating a new information literacy paradigm.

This report highlights the primary mechanisms of dis/misinformation: multimedia …

Ils 490: Diplomacy Lab: Strategies For Identifying Mis/Disinformation Course Syllabus (Fall 2022), Bethany S. Mcgowan, Matthew Hannah

Libraries Faculty and Staff Creative Materials

Course syllabus for the Diplomacy Lab: Strategies for Identifying Mis/Disinformation student-driven project, a collaboration between Purdue University and the U.S. Department of State, supervised by Professors Bethany McGowan and Matthew Hannah.

A Gamefied Synthetic Environment For Evaluation Of Counter-Disinformation Solutions, Jesse Richman, Lora Pitman, Girish S. Nandakumar

Political Science & Geography Faculty Publications

This paper presents a simulation-based approach to countering online dis/misinformation. This disruptive technology experiment incorporated a synthetic environment component, based on adapted SIR epidemiological model to evaluate and visualize the effectiveness of suggested solutions to the issue. The participants in the simulation were given a realistic scenario depicting a dis/misinformation threat and were asked to select a number of solutions, described in IoS (Ideas-of-Systems) cards. During the event, the qualitative and quantitative characteristics of the IoS cards, were tested in a synthetic environment (SEN), built after a Susceptible-Infected-Resistant (SIR) model. The participants, divided into teams, presented and justified their dis/misinformation …