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Aiping Xiong
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2020 – today
- 2024
- [c20]Wooyong Jung, Nishant Asati, Phuong (Lucy) Doan, Thai Le, Aiping Xiong, Dongwon Lee:
The Strange Case of Jekyll and Hyde: Analysis of R/ToastMe and R/RoastMe Users on Reddit. ICWSM 2024: 787-799 - [c19]Margie Ruffin, Haeseung Seo, Aiping Xiong, Gang Wang:
Does It Matter Who Said It? Exploring the Impact of Deepfake-Enabled Profiles on User Perception towards Disinformation. ICWSM 2024: 1328-1341 - [c18]Haeseung Seo, Sian Lee, Dongwon Lee, Aiping Xiong:
Reliability Matters: Exploring the Effect of AI Explanations on Misinformation Detection with a Warning. ICWSM 2024: 1395-1407 - [i7]Mahjabin Nahar, Haeseung Seo, Eun-Ju Lee, Aiping Xiong, Dongwon Lee:
Fakes of Varying Shades: How Warning Affects Human Perception and Engagement Regarding LLM Hallucinations. CoRR abs/2404.03745 (2024) - [i6]Yan Pang, Aiping Xiong, Yang Zhang, Tianhao Wang:
Towards Understanding Unsafe Video Generation. CoRR abs/2407.12581 (2024) - 2023
- [c17]Yi-Li Hsu, Shih-Chieh Dai, Aiping Xiong, Lun-Wei Ku:
Is Explanation the Cure? Misinformation Mitigation in the Short Term and Long Term. EMNLP (Findings) 2023: 1313-1323 - [c16]Shih-Chieh Dai, Aiping Xiong, Lun-Wei Ku:
LLM-in-the-loop: Leveraging Large Language Model for Thematic Analysis. EMNLP (Findings) 2023: 9993-10001 - [c15]Sian Lee, Haeseung Seo, Dongwon Lee
, Aiping Xiong:
Associative Inference Can Increase People's Susceptibility to Misinformation. ICWSM 2023: 530-541 - [c14]Zekun Cai, Aiping Xiong:
Understand Users' Privacy Perception and Decision of V2X Communication in Connected Autonomous Vehicles. USENIX Security Symposium 2023: 2975-2992 - [i5]Shih-Chieh Dai, Aiping Xiong, Lun-Wei Ku:
LLM-in-the-loop: Leveraging Large Language Model for Thematic Analysis. CoRR abs/2310.15100 (2023) - [i4]Yi-Li Hsu, Shih-Chieh Dai, Aiping Xiong, Lun-Wei Ku:
Is Explanation the Cure? Misinformation Mitigation in the Short Term and Long Term. CoRR abs/2310.17711 (2023) - 2022
- [c13]Shuofei Zhu, Ziyi Zhang, Boqin Qin, Aiping Xiong, Linhai Song:
Learning and Programming Challenges of Rust: A Mixed-Methods Study. ICSE 2022: 1269-1281 - [c12]Haeseung Seo, Aiping Xiong, Sian Lee, Dongwon Lee:
If You Have a Reliable Source, Say Something: Effects of Correction Comments on COVID-19 Misinformation. ICWSM 2022: 896-907 - [c11]Shih-Chieh Dai, Yi-Li Hsu, Aiping Xiong, Lun-Wei Ku:
Ask to Know More: Generating Counterfactual Explanations for Fake Claims. KDD 2022: 2800-2810 - [c10]Ziyi Zhang, Shuofei Zhu, Jaron Mink, Aiping Xiong, Linhai Song, Gang Wang:
Beyond Bot Detection: Combating Fraudulent Online Survey Takers✱. WWW 2022: 699-709 - [c9]Kuan-Chieh Lo, Shih-Chieh Dai, Aiping Xiong, Jing Jiang, Lun-Wei Ku:
VICTOR: An Implicit Approach to Mitigate Misinformation via Continuous Verification Reading. WWW 2022: 3511-3519 - [i3]Aiping Xiong, Chuhao Wu, Tianhao Wang, Robert W. Proctor, Jeremiah Blocki, Ninghui Li, Somesh Jha:
Using Illustrations to Communicate Differential Privacy Trust Models: An Investigation of Users' Comprehension, Perception, and Data Sharing Decision. CoRR abs/2202.10014 (2022) - [i2]Shih-Chieh Dai, Yi-Li Hsu, Aiping Xiong, Lun-Wei Ku:
Ask to Know More: Generating Counterfactual Explanations for Fake Claims. CoRR abs/2206.04869 (2022) - 2021
- [j4]Youngseung Jeon, Bogoan Kim
, Aiping Xiong, Dongwon Lee, Kyungsik Han
:
ChamberBreaker: Mitigating the Echo Chamber Effect and Supporting Information Hygiene through a Gamified Inoculation System. Proc. ACM Hum. Comput. Interact. 5(CSCW2): 472:1-472:26 (2021) - [c8]Kuan-Chieh Lo, Shih-Chieh Dai, Aiping Xiong, Jing Jiang, Lun-Wei Ku:
All the Wiser: Fake News Intervention Using User Reading Preferences. WSDM 2021: 1069-1072 - [c7]Kuan-Chieh Lo, Shih-Chieh Dai, Aiping Xiong, Jing Jiang, Lun-Wei Ku:
Escape from An Echo Chamber. WWW (Companion Volume) 2021: 713-716 - 2020
- [c6]Sian Lee, Joshua P. Forrest, Jessica Strait, Haeseung Seo, Dongwon Lee
, Aiping Xiong:
Beyond Cognitive Ability: Susceptibility to Fake News Is Also Explained by Associative Inference. CHI Extended Abstracts 2020: 1-8 - [c5]Aiping Xiong, Tianhao Wang
, Ninghui Li, Somesh Jha:
Towards Effective Differential Privacy Communication for Users' Data Sharing Decision and Comprehension. SP 2020: 392-410 - [i1]Aiping Xiong, Tianhao Wang, Ninghui Li, Somesh Jha:
Towards Effective Differential Privacy Communication for Users' Data Sharing Decision and Comprehension. CoRR abs/2003.13922 (2020)
2010 – 2019
- 2019
- [j3]Aiping Xiong, Robert W. Proctor, Weining Yang, Ninghui Li:
Embedding Training Within Warnings Improves Skills of Identifying Phishing Webpages. Hum. Factors 61(4) (2019) - [j2]Markus Janczyk
, Aiping Xiong, Robert W. Proctor:
Stimulus-Response and Response-Effect Compatibility With Touchless Gestures and Moving Action Effects. Hum. Factors 61(8) (2019) - [c4]Haeseung Seo, Aiping Xiong, Dongwon Lee
:
Trust It or Not: Effects of Machine-Learning Warnings in Helping Individuals Mitigate Misinformation. WebSci 2019: 265-274 - 2017
- [j1]Aiping Xiong, Robert W. Proctor, Weining Yang, Ninghui Li:
Is Domain Highlighting Actually Helpful in Identifying Phishing Web Pages? Hum. Factors 59(4): 640-660 (2017) - [c3]Weining Yang, Aiping Xiong, Jing Chen, Robert W. Proctor, Ninghui Li:
Use of Phishing Training to Improve Security Warning Compliance: Evidence from a Field Experiment. HotSoS 2017: 52-61 - 2016
- [c2]Weining Yang, Ninghui Li, Omar Chowdhury, Aiping Xiong, Robert W. Proctor:
An Empirical Study of Mnemonic Sentence-based Password Generation Strategies. CCS 2016: 1216-1229 - 2015
- [c1]Weining Yang, Jing Chen, Aiping Xiong, Robert W. Proctor, Ninghui Li:
Effectiveness of a phishing warning in field settings. HotSoS 2015: 14:1-14:2
Coauthor Index
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last updated on 2024-08-25 19:11 CEST by the dblp team
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