This is an investigative linguistic blog in which I share some of my ongoing academic research and deception detection training materials. My general intention is to explore the linguistic landscape of the post-truth era. I hope this blog will stimulate discussion and debate, and complement the incredible investigative journalism that is a signature trend of our current times.

For information on deception detection training and workshops you can contact me via Twitter: @oepopoola

Copyright notice: All rights reserved © Olu Popoola, 2018.

Content downloaded from this blog can be used only with express permission of the author.

OutLiar™ is a trademark of the author.

Selected conference publications

US

Using anomaly detection to separate truth from deception in a mixed veracity text | Decepticon 2017 | Stanford University

Detecting fake reviews using Rhetorical Structure Theory | MIS2: Misinformation and Misbehaviour Mining on the Web | Workshop held in conjunction with WSDM 2018 | Los Angeles, California

UK

Detecting deception by linguistic means | University of Birmingham | December 2018

What does a suspicious review look like? Using coherence relations to understand the discourse of deception | Manchester Forum in Linguistics 2017 | Manchester University

“It’s the story, stupid!”. How MARV (Multivariate Analysis of Register Variation) can save the world from fake news | Lancaster University

Europe

Genre violation as an indicator of deception in online reviews | IAFL 2017 | University of Porto

Dimensions of deception | ICAME 2018 | Tampere, Finland