misinformation Archives — LIRNEasia


In response to the alarming surge of information disorder affecting online platforms, LIRNEasia is exploring to provide evidence-based recommendations to policymakers on how best to equip Sri Lankan early adolescence with skills to navigate the digital world safely and responsibly. This is through a two-year research project on digital literacy among Sri Lankan adolescents aged 11 to 18. In partnership with Sarvodaya Fusion, LIRNEasia is taking an experimental approach, using qualitative methods. This initiative involves the comparison of two cohorts of early adolescents with varied demographics, including language and sectors like urban, rural, and estate. While one group undergoes intensive digital literacy training, the other serves as a control group without such training.
LIRNEasia recently unveiled “Dissect” – a cutting-edge web tool employing advanced artificial intelligence (AI) tailored for effective fact-checking. What sets this tool apart is its compatibility with Sinhala websites, and its accessibility to anyone from anywhere in the world, making fact-checking accessible to a wider audience. Developed by Appendix Pvt. Ltd. under Watchdog Sri Lanka, the web tool is currently being tested for effectiveness by LIRNEasia.
An Expert Round Table discussion on "Tackling online misinformation while protecting freedom of expression" held on the 11th of October 2021, as the second of a series of discussions under the theme of “Frontiers of Digital Economy”
LIRNEasia conducted research and authored the chapter on the Asian region as part of the study "Meeting the Challenges of Information Disorder in the Global South."
A white paper exploring the use of AI in classifying misinformation. 
LIRNEasia conducted a forum in mid-December 2021 focusing on tackling disinformation.
Science writer Nalaka Gunawardene shares his insights following a forum held in mid-December 2021.
Over the past decade, both internet penetration and digital media user base have increased substantially.
We present a dataset consisting of 3576 documents in Sinhala, drawn from Sri Lankan news websites and factchecking operations, annotated as CREDIBLE, FALSE, PARTIAL or UN- CERTAIN. The dataset has markers for the content of the document, the classification, the web domain from which each document was retrieved, and the date on which the document was published. We also present the results of misinformation classification models built for the Sinhala language, as well as comparisons to English benchmarks, and suggest that for smaller media ecosystems it may make more practical sense to model uncertainty instead of truth vs falsehood binaries.
The problem with regulating information is its inherent slipperyness. In 2018, when invited to speak on the subject I quoted a Deputy Minister of the Malaysian Government, speaking in Parliament: Datuk Jailani Johari, the Deputy Communications and Multimedia Minister, explained that fake news is information that is confirmed to be untrue, especially by the authorities or parties related to the news. He said that 1MDB has been investigated by the police and Attorney-General and the reports have been presented to Parliament’s Public Accounts Committee (PAC), which is made up of lawmakers from both sides of the divide. Jailani added that recommendations from the PAC report have been accepted and been implemented by the Government. .