Positive sentiment and expertise predict the diffusion of archaeological content on social media

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: Jan. 15, 2025

Abstract This study investigates the dissemination of archaeological information on Twitter/X through lens cultural evolution. By analysing 132,230 tweets containing hashtag #archaeology from 2021 to 2023, we examine how content and context-related factors influence retweeting behaviour. Our findings reveal that with positive sentiment non-threatening language are more likely be shared, contrasting common negativity bias observed social media. Additionally, authored by experts, particularly those or historical expertise, is frequently retweeted than popular figures lacking domain-specific expertise. The also challenges notion pseudoarchaeology spreads rapidly caution against overestimating its impact. results align other studies spread misinformation “toxic” behaviour media, showing sharing negative hostile a vocal minority users mediated pertaining context communication. These insights underscore nuanced dynamics archaeology communication, emphasizing importance expert-led positively charged narratives in engaging public

Language: Английский

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The dynamics of conspiracy theories on social media from the diffusion of innovations perspective: the moderating role of time

Internet Research, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 20, 2025

Purpose The persistence and virality of conspiracy theories online have raised significant concerns. This study revisits Rogers’ Diffusion Innovations theory to examine the spread on social media, specifically focusing how factors influencing their diffusion evolve over time. Design/methodology/approach analyzes 1.18 million COVID-19-related tweets using a combination natural language processing, network analysis machine learning techniques. It explores dynamic roles novelty, content negativity, influencers, echo chamber members bots in theories. Findings results indicate that are positively associated with initial dissemination is primarily driven by novelty influencer involvement. Over time, perpetuation these becomes increasingly influenced negativity involvement bots. Social serve as important connectors within chambers removal significantly reduces cohesion. Practical implications findings provide practical guidance for media platforms policymakers monitoring patterns applying targeted interventions. Originality/value introduces time-sensitive approach understanding media. By identifying key drivers at different stages process, this offers valuable insights developing effective strategies counteract proliferation various points lifecycle.

Language: Английский

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Sharing, commenting, and reacting to Danish misinformation: A case study of cognitive attraction on Facebook

Nordicom review/NORDICOM review, Journal Year: 2025, Volume and Issue: 46(1), P. 55 - 75

Published: Jan. 1, 2025

Abstract Social media facilitate a competition for users’ limited attention by bringing various content together, from health advice to entertainment, and updates loved ones misinformation. Especially misinformation has raised societal concern. We evaluated the influence of visual material cognitive factors attraction, specifically valenced sentiment, threat-related, intergroup-related, social information, on engagement scores (i.e., shares, comments, reactions). analysed 356 misleading Danish Facebook posts sampled through fact-checking association TjekDet’s “entirely or partly false” web page fitting Bayesian zero-inflated negative binomial regression model. The study showed that videos images were exceptionally strong predictors engagement, especially shares. Positivity, negativity, intergroup-related information also increased but threat-related reduced it. Our findings suggest in highly competitive online environment, some biases are stronger than others. Finally, we discuss potential moderators their effect such as reputation management strategies.

Language: Английский

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Negative news headlines are more attractive: negativity bias in online news reading and sharing

Current Psychology, Journal Year: 2024, Volume and Issue: unknown

Published: Sept. 6, 2024

Language: Английский

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Journal of Multiscale Neuroscience

Journal of Multiscale Neuroscience, Journal Year: 2023, Volume and Issue: 2(1), P. 169 - 191

Published: March 13, 2023

Collective intelligence, broadly conceived, refers to the adaptive behavior achieved by groups through interactions of their members, often involving phenomena such as consensus building, cooperation, and competition. The standard view collective intelligence is that it a distinct phenomenon from supposed individual intelligence. In this position piece, we argue more parsimonious stance consider all intelligent being driven similar abstract principles dynamics. To illustrate point, highlight how are at work in non-human animals, multicellular organisms, brains, small humans, cultures, even evolution itself. If these systems best understood emergent result interactions, ask what left be called “individual intelligence”? We believe viewing offers greater explanatory power generality, may promote fruitful cross-disciplinary exchange study behavior.

Language: Английский

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Emotions on Twitter as crisis imprint in high-trust societies: Do ambient affiliations affect emotional expression during the pandemic?

PLoS ONE, Journal Year: 2024, Volume and Issue: 19(3), P. e0296801 - e0296801

Published: March 5, 2024

During the Covid-19 crisis, citizens turned to Twitter for information seeking, emotional outlet and sense-making of creating ad hoc social communities using crisis-specific hashtags. The theory ambient affiliation posits that use hashtags upscales call affiliate with values expressed in tweet. Given deep functional tie between emotions, hashtag might further amplify certain emotions. While emotions crises-hashtagged have been previously investigated, hypothesis amplification through has not yet tested. We investigate such effect during crisis a scenario high-trust Nordic societies, focusing on non-hashtagged, hashtagged (e.g., ‘#Covid-19’) threat ‘#misinformation’) tweets. To do so we apply XLM-RoBERTa estimate Anger, Fear, Sadness, Disgust, Joy Optimism. Our results revealed crisis-hashtagged (#Covid-19) tweets more negative (Anger, Disgust Sadness) less positive (Optimism Joy) than non-hashtagged all countries except Finland. Threat (#misinformation) even Disgust) #Covid-19 tweets, particularly large Anger. findings provide useful context previous research collective crises, as most content is hashtagged, given faster spread emotionally charged content, support special focus specific management monitoring.

Language: Английский

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Content-Based Learning Biases

Published: Jan. 1, 2024

Language: Английский

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Bridging theory and data: A computational workflow for cultural evolution

Proceedings of the National Academy of Sciences, Journal Year: 2024, Volume and Issue: 121(48)

Published: Nov. 18, 2024

Cultural evolution applies evolutionary concepts and tools to explain the change of culture over time. Despite advances in both theoretical empirical methods, connections between cultural theory evidence are often vague, limiting progress. Theoretical models influence research but rarely guide data collection analysis logical transparent ways. themselves too abstract apply specific contexts statistical inference. To help bridge this gap, we outline a quality-assurance computational workflow that starts from generative phenomena logically connects estimates real-world explanatory goals. We emphasize demonstrate validation using synthetic data. Using interplay conformity, migration, diversity as case study, present coded repeatable examples directed acyclic graphs, tailored agent-based simulations, probabilistic transmission model for longitudinal data, an approximate Bayesian computation cross-sectional discuss assumptions, opportunities, pitfalls different approaches modeling show how each can be used improve depending on structure available depth understanding. Throughout, highlight significance ethnography collecting basic demographic information about study populations call more emphasis theory-driven workflows part science reform.

Language: Английский

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A cultural evolution theory for contemporary polarization trends in moral opinions

Humanities and Social Sciences Communications, Journal Year: 2024, Volume and Issue: 11(1)

Published: Dec. 5, 2024

Abstract While existing theories of political polarization tend to suggest that the opinions liberals and conservatives move in opposite directions, available data indicate on a wide range moral issues liberal direction among both conservatives. Moreover, some scientists have hypothesized this movement follows an S-shaped curve similar, but later, conservatives, so given issue first increases (as at initial stage faster liberals) then decreases later conservatives). Here we show these dynamics are explained by Moral Argument Theory, cultural evolution theory positing opinion shifts arise from certain content bias social transmission. This also yields several other specific predictions about trends opinions, which test against longitudinal 55 General Social Survey (sample sizes between 1798 57,809 per issue). The generally confirmed. We conclude perspective can provide valuable insights for science understanding contemporary societal changes.

Language: Английский

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Estimating two key dimensions of cultural transmission from archaeological data

Journal of Anthropological Archaeology, Journal Year: 2023, Volume and Issue: 72, P. 101545 - 101545

Published: Sept. 21, 2023

Language: Английский

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