We are pleased to announce that Professor Milad Mirbabaie was able to publish four papers together with his co-authors at the 55th Hawaii International Conference on System Sciences (HICSS) 2022.
The first paper "SMART-Portal: A data tracking tool for research purposes from social media and news websites", which is being written in collaboration with Stefan Stieglitz and Ali Basyurt, presents a scientific tool that can be used to collect social media data. This paper introduces the so-called SMART portal and outlines its development to enable researchers to track data from various predefined news websites and Twitter.
The second paper "Oiling the 'Tireless Selling-Machine' - Exploring Requirements for the Deployment of Social Bots in Social Commerce", which is a collaboration with Stefan Stieglitz, Felix Brünker and Julian Marx, explores the conditions under which organisations would deploy social bots for commercial purposes. This is because social phenomena such as social bots lend a new dynamic to discussions and the dissemination of information with the possible aim of influencing or shaping opinions and decisions.
The third paper "Working with ELSA - How an Emotional Support Agent Builds Trust in Virtual Teams", written in collaboration with Stefan Stieglitz, Maren Harbring and Lennart Hofeditz, presents a self-developed emotional support agent called ELSA, which can influence the trust between human and agent and the perceived social presence. This is necessary because virtual collaboration leads to a lack of trust between virtual team members, e.g. due to spatial separation and low social interaction.
The fourth paper "Ethics Guidelines for Using AI-based Algorithms in Recruiting: Learnings from a Systematic Literature Review", written in collaboration with Lennart Hofeditz, Audrey Luther, Riccarda Mauth and Ina Rentemeister, deals with the lack of applicability of specific use cases, such as the use of AI-based algorithms in recruitment processes. To address this issue and to provide guidance for researchers and practitioners, the paper conducted a systematic literature review (keyword and backwards search) on existing ethics guidelines and principles for AI and extracted aspects that seemed applicable to guide recruiting processes.