Communication in Focus
Encoding and Decoding Online “Fake” News Sharing: Comparative Intersectional Analyses across Brazil, India, and the United States
Paper Presentation in a Themed Session
Mattius Rischard
An international interdisciplinary academic team conceptualizes, builds, and then explores a virtual tool (Headliner) to better understand the impact of cultural intersectionality on social media communities based on sharing behavior and thus participating in and contributing to encoding/decoding (fake) news narratives. A Grounded Theory approach was adopted to gather both quantitative and qualitative data from parallel groups in Brazil, India, and the United States. In this virtual tool, given a news headline, the participant swipes left or right to share or not, and later faces their decisions to determine whether those headlines were fake or not. In the case of the present research, news organized across six topics was presented to participants. The authors present a constant comparative analysis of the headlines shared by men (n=73) v. women (n=86), individualist (n=83) v. collective-minded (n=32) people, and Brazilian (n=31) v. North American (n=85) and Indian (n=28) samples. The study reveals how certain kinds of news typically carry more cultural capital among different audiences based on phenomenological differences regarding how cultural expression is encoded and decoded. Additionally, the sharing of online media narratives is in itself a distinct cultural process for (de)constructing community resilience through the expression and recognition of intersecting identities. In conclusion, this research extends Walter Benjamin’s (1936) dialectic to the age of digital reproduction in which we currently live and offers an intersectionality- based perspective of current and future challenges associated with research across technology, digital humanities, and cultural studies.
The Role of Neutrosophic Logic in Computing Synthetic Meaning
Paper Presentation in a Themed Session
Labidi Bouabdallah,
Edward Hogshire,
Usra Idris
Neutrosophic theory is a new cognitive, scientific, and philosophical pattern with its own specificity, effectiveness, and characteristics. It means neutral thought as a generalization of fuzzy logic. It has also become an extension of the classical category theory as it has developed and introduced new ideas. New concepts in the fields of mathematics, statistics, computer science, and information systems have been formulated through Neutrosophic logic. The need for this new logic has emerged through the relative changes in life and the lack of knowledge needed to address these changes. We need a logical format that fits our current data to deal with various scientific and life practices in their various forms. Neutrosophic logic studies the nature and scope of indeterminacy and the interaction of all the different models and hypotheses a person imagines or assumes about a given issue. It considers each opposing idea with the hypothesis of indeterminacy. Neutrosophic logic gives us a more accurate description which in turn helps us obtain more valid and accurate results. Therefore, in this paper, we shed light on the effectiveness of the principles of neutrosophic logic in computing artificial linguistic and semantic relationships and their ontological construction in the field of artificial intelligence. Additionally, we illustrate how, as a flexible logic, it can blend with other theories to achieve technological, informational, and computational compatibility with synthetic linguistic meaning.
Featured Development of Technology Empowerment Language Teaching
Paper Presentation in a Themed Session
Shuo Zhao
This paper takes the innovative teaching method proposed in the Innovative Teaching Report (2023 edition) of the Open University of the UK as a reference, and uses journal articles related to blended learning mode, remote collaborative learning and corpus-based learning in China National Knowledge Infrastructure(CNKI) as data sources. The bibliometric visualization analysis software iteSpace (6.1. R3) is used to conduct co-occurrence analysis of authors and keywords, draw clustering diagrams, reveal their research overview and development trend, analyze frontier research dynamics in order to provide reference for the development of technology-empowered language teaching.
