Addicts without substance? Social media addiction when Facebook shuts down

2020 | International Conference on Information Systems | Citations: 0

Authors: Sedera, Darshana; Lokuge, Sachithra

Abstract: In March 2018, a series of anti-social and racial riots in Sri Lanka led to a go ... Expand

Abstract: In March 2018, a series of anti-social and racial riots in Sri Lanka led to a governmentcontrolled ban of all social media use in the country for 14 days. This nation-wide ban included the use of all social media such as Facebook, Twitter and communication apps like WhatsApp, Viber and WeChat. Until the day of the sanctions, a population of 23 million in Sri Lanka had never experienced government sanctions, restrictions or interventions on social media use. This sudden ban provided a unique window of opportunity to investigate social media non-use and use and how it might lead to psychological distress. Using a longitudinal study design of two surveys, analyzing data of 476 and 205 respectively, this study makes insightful preliminary observations of social media non-use and use continuum. Collapse

Topics: social media social media addiction mobile application missing data information system use

Methods: longitudinal research survey partial least squares regression longitudinal data analysis structural equation modeling

Cognition-based Task Routing: Towards Highly-Effective Task-Assignments in Crowdsourcing Settings

2014 | International Conference on Information Systems | Citations: 0

Authors: Feldman, Michael; Bernstein, Abraham

Abstract: In recent years the rising popularity of outsourcing work to crowds has led to i ... Expand

Abstract: In recent years the rising popularity of outsourcing work to crowds has led to increasing importance to find an effective assignment of suitable workers with tasks. Even though attempts have been made in related areas such as expertise identification most crowdsocuring jobs today are assigned without any predefined policy. Whilst some have investigated assigning jobs based on availability or experience no dominant method has been identified so far. We propose an assignment of tasks to crowd-workers based on their cognitive capability, by conducting a set of cognitive tests and comparing them with performance on typical crowdtasks. Moreover, we examine different setups to predict task performance where a) cognitive abilities, b) performance on previous crowdtasks, or c) both of them, are partially known. Preliminary results show that cognition-based task assignment leads to an improvement in task performance prediction and may pave the way to more intelligent crowd-worker recruitment. Collapse

Topics: crowdsourcing task productivity collaborative filtering missing data Elance

Methods: experiment descriptive statistic data imputation multivariate imputation with chained equations singular value decomposition

Theories: cognitive load theory