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.
This study looked to understand the experiences of 35 individuals during a lockdown in the Gampaha district. The last mile service delivery experiences – particularly in the areas of access to goods, education, cash and medicine – were some of the areas to which particular attention was paid.
Data usage in Sri Lanka has exploded by a hundred percent between March 2020 and the beginning of July 2021, with increasing complaints against service providers over speeds, connection drops and bad quality.
The COVID-19 pandemic has caused unprecedented stresses on food supply chains due to momentous shifts in demand and significant restrictions in the supply value chain and supply.
LIRNEasia Chair, Rohan Samarajiva shared a message with students in Sri Lanka who have completed their formal education on SLVLOG Good Vibes.
The network is looking to bridge some of the gaps working with various stakeholders including the Ministry of Health to provide relief to those who need it the most.
LIRNEasia Chair, Rohan Samarajiva and I attended the first drafting group meeting for developing the Asia-Pacific Information Superhighway Action Plan 2022-2026 on 25 May. The meeting was convened by UNESCAP, and chaired by Mohamed Shareef, Maldives' newly appointed State Minister of Environment, Climate Change and Technology.
Intended for policymakers, technologists, educators and others, this international collection of 19 short stories delves into AI’s cultural impacts with hesitation and wonder.
Information collection (or data collection) is vital during an epidemic, especially for purposes such as contact tracing and quarantine monitoring. However, it also poses challenges such as keeping up with the spread of the infectious disease, and the need to protect personally identifiable information. We explore some of the methods of information collection deployed in Sri Lanka and Thailand during the COVID-19 pandemic, and offer policy recommendations for future pandemics.
Responding to the COVID-19 crisis has been difficult for many. Its volatile and uncertain nature has made planning even more challenging. It is, therefore, essential that efforts are made to simplify citizens’ planning and decision-making processes to the extent possible. Our research indicates that not all citizens were adequately prepared for sudden a lockdown, despite previous experiences. Disseminating better information could help, at least to an extent.
The theme of this year's SIF was "Mobilising for Digital Resilience – a free, open, and secure internet in the shifting landscapes of the pandemic". The opening panel set the stage for discussing issues that fit under this topic, and will be followed by 2 days of further panels that explore each issue further.
Impactful utilization required a focus on outcomes: did it achieve the good that was sought to be achieved by the legislation? In general, that would require demand-side studies to see if people had been brought out of poverty, whether employment had been created, etc..
But before one gets to outcomes, it's necessary to have outputs. If the fund has not resulted in the rollout of networks or whatever it was supposed to support, there is not much point in looking for evidence of outcomes, good or bad.
LIRNEasia discussed policy challenges of ensuring access for all as well as the challenges of working from home during a pandemic for women at the the inaugural Sri Lanka Internet Day, organised by the Federation of Information Technology Industry Sri Lanka (FITIS) on 6-7 April 2021.
We are looking for two full-time (40 hours per week) interns to join us for a period of 12 weeks for an Internship in Machine Learning and Remote Sensing
Education was hard hit due to the COVID-19 crisis. A year into the crisis, some educators, students and caregivers are still grappling to find ways to provide continuity in education while minimising COVID-19 outbreaks. Online learning was seemingly a silver bullet. The adoption of digital technologies for educational purposes increased significantly as a result. However, the experiences of all students were heterogeneous, differing between countries and socio-economic groups.
LIRNEasia researchers presented work on distance education and risk communication at Sri Lanka's National Conference on COVID-19 in January 2021.