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1
Finding the best way to put media bias research into practice via an annotation app ...
Hornung, Tilman. - : Open Science Framework, 2022
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2
Are neural language models sensitive to false belief? A computational study. ...
Trott, Sean. - : Open Science Framework, 2022
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3
Structured, flexible, and robust: comparing linguistic plans and explanations generated by humans and large language models ...
Wei, Megan. - : Open Science Framework, 2022
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4
Similarity between person roles in a card sorting experiment ...
Maldonado, Mora. - : Open Science Framework, 2022
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5
Ensemble of Opinion Dynamics Models to Understand the Role of the Undecided in the Vaccination Debate ...
Lenti, Jacopo; Ruffo, Giancarlo. - : arXiv, 2022
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6
Perturbations in Non-Flat Cosmology for $f(T)$ gravity ...
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7
The Mnemosyne Number and the Rheology of Remembrance ...
Jamali, Safa; McKinley, Gareth H.. - : arXiv, 2022
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8
Particle ratios with in Hadron Resonance Gas (HRG) and Artificial Neural Network (ANN) models ...
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9
Computing Entailments Online, ver. 5 ...
Dąbkowski, Maksymilian. - : Open Science Framework, 2022
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10
Computing Entailments Online, ver. 6 ...
Dąbkowski, Maksymilian. - : Open Science Framework, 2022
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11
Can distributional semantics explain performance on the false belief task? ...
Trott, Sean. - : Open Science Framework, 2022
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12
Characterizing News Portrayal of Civil Unrest in Hong Kong, 1998–2020 ...
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13
Quantifying knowledge synchronisation in the 21st century ...
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14
Towards a Semantic Information Theory (Introducing Quantum Corollas) ...
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15
Application of Quantum Density Matrix in Classical Question Answering and Classical Image Classification ...
Zhao, X. Q.; Wan, H.; Chen, H.. - : arXiv, 2022
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16
Taking models seriously and being a linguistic realist ...
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17
Networks and Identity Drive Geographic Properties of the Diffusion of Linguistic Innovation ...
Abstract: Adoption of cultural innovation (e.g., music, beliefs, language) is often geographically correlated, with adopters largely residing within the boundaries of relatively few well-studied, socially significant areas. These cultural regions are often hypothesized to be the result of either (i) identity performance driving the adoption of cultural innovation, or (ii) homophily in the networks underlying diffusion. In this study, we show that demographic identity and network topology are both required to model the diffusion of innovation, as they play complementary roles in producing its spatial properties. We develop an agent-based model of cultural adoption, and validate geographic patterns of transmission in our model against a novel dataset of innovative words that we identify from a 10% sample of Twitter. Using our model, we are able to directly compare a combined network + identity model of diffusion to simulated network-only and identity-only counterfactuals -- allowing us to test the separate and combined ...
Keyword: Computation and Language cs.CL; Computers and Society cs.CY; FOS Computer and information sciences; FOS Physical sciences; J.4; I.6.3; K.4; Physics and Society physics.soc-ph; Social and Information Networks cs.SI
URL: https://arxiv.org/abs/2202.04842
https://dx.doi.org/10.48550/arxiv.2202.04842
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18
Snooker Statistics and Zipf's Law ...
Hordijk, Wim. - : arXiv, 2022
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19
Stability and evolution of synonyms and homonyms in signaling game ...
Lipowski, Dorota; Lipowski, Adam. - : arXiv, 2022
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20
Cauchy's Logico-Linguistic Slip, the Heisenberg Uncertainty Principle and a Semantic Dilemma Concerning "Quantum Gravity" ...
Majhi, Abhishek. - : arXiv, 2022
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