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Autumn Toney

Autumn Toney-Wails

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2020 – today

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2024
[c5]
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  dblp key:
  - conf/fat/ToneyCP24
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Autumn Toney, Kathleen Curlee, Emelia Probasco:
Trust Issues: Discrepancies in Trustworthy AI Keywords Use in Policy and Research. FAccT 2024: 2222-2233
[i4]
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  - journals/corr/abs-2403-09097
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Autumn Toney-Wails, Christian Schoeberl, James Dunham:
AI on AI: Exploring the Utility of GPT as an Expert Annotator of AI Publications. CoRR abs/2403.09097 (2024)
2023
[c4]
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Autumn Toney-Wails, Kornraphop Kawintiranon, Lisa Singh, Paul-Emmanuel Courtines, Alexander Lin, Haofei Zhang:
Investigating Scientific Misinformation Using Different Modes of Learning. SDU@AAAI 2023
2022
[c3]
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  - conf/coling/ToneyD22
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Autumn Toney, James Dunham:
Multi-label Classification of Scientific Research Documents Across Domains and Languages. SDP@COLING 2022: 105-114
2021
[j1]
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  - journals/frma/RahkovskyTBKM21
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Ilya Rahkovsky, Autumn Toney, Kevin W. Boyack, Richard Klavans, Dewey A. Murdick:
AI Research Funding Portfolios and Extreme Growth. Frontiers Res. Metrics Anal. 6: 630124 (2021)
[c2]
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Autumn Toney, Aylin Caliskan:
ValNorm Quantifies Semantics to Reveal Consistent Valence Biases Across Languages and Over Centuries. EMNLP (1) 2021: 7203-7218
[c1]
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Autumn Toney, Akshat Pandey, Wei Guo, David A. Broniatowski, Aylin Caliskan:
Automatically Characterizing Targeted Information Operations Through Biases Present in Discourse on Twitter. ICSC 2021: 82-83
[i3]
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  - journals/corr/abs-2102-12516
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Autumn Toney:
A Large-Scale, Automated Study of Language Surrounding Artificial Intelligence. CoRR abs/2102.12516 (2021)
2020
[i2]
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  - journals/corr/abs-2004-08726
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Autumn Toney, Akshat Pandey, Wei Guo, David A. Broniatowski, Aylin Caliskan:
Pro-Russian Biases in Anti-Chinese Tweets about the Novel Coronavirus. CoRR abs/2004.08726 (2020)
[i1]
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  - journals/corr/abs-2006-03950
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Autumn Toney, Aylin Caliskan:
ValNorm: A New Word Embedding Intrinsic Evaluation Method Reveals Valence Biases are Consistent Across Languages and Over Decades. CoRR abs/2006.03950 (2020)

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