Modeling Group Opinion Evolution on Online Social Networks: A Gravitational Field Perspective

Li, Meizi; Zhang, Xinyi; Li, Maozhen; Chen, Yunwen; Bai, Yanhong; Zhang, Bo; Yang, Ru

doi:10.1109/tcss.2023.3256892

Cited by 1 publication

(1 citation statement)

References 51 publications

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“…Opinions may be expressed as and detected by sentiments [9,10], emotions [11], collocations, associations, and other relationships between linguistic items and diffuse sentiments that can be inferred from texts ("sentiment orientation in a structured form from a set of unstructured data" [10]). Opinions may be derived using supervised learning, with neural networks, or similar means [12][13][14]. Despite the progress, there are still difficulties in reliably determining opinions [15], especially in brief messages as on Twitter [9]; new tools for opinion extraction continue to appear.…”

Section: Research Contextmentioning

confidence: 99%

Twitter's Mirroring of the 2022 Energy Crisis: What It Teaches Decision-Makers - A Preliminary Study

TEODORESCU,

PIRNAU

2023

ROMJIST

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The paper pertains to the field of opinion mining on social networks in view of decision-making. It was designed to determine the effect of the energy crises on the socio-ethical and ethical worries and concerns related to the role of Information and Communication Technology (ICT) in the crisis, as reflected on Twitter. Knowing public opinions during crises is a key component of decision-making. Other purposes include the determination of the perception of the correlations between these categories of concerns and the determination of specificities of distributions of such perceptions, as represented by words. A mixture of tools from lexical, topical, and semantical analysis were applied for generating the bag of words and for analyzing a set of tweets collected during the initial stage of an energy crisis, with special emphasis to coherence indices. The results confirm that energy crises may be associated with such concerns, as expected, but the association probability is low for the 2022 energy crisis, indicating at least a partial success of the mitigation decisions of the respective authorities. Some surprising relationships also occurred from the study. The paper is dedicated to Acad. Florin Gheorghe Filip, at the 75th anniversary.

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