[ 1 ] 中国互联网络信息中心. 第51 次《中国互联网络发展状况统计报告》[EB/OL]. [2023-05-10].https://www.cnnic.net.cn/n4/2023/0303/c88-10757.html.
[
2 ] Brennen J S, Simon F M, Howard
P N, etal. Types, sources, and
claims of COVID-19misinformation types, sources, and
claims ofCOVID-19 misinformation[D]. Britain:Universityof Oxford, 2020.
[
3 ] Difonzo N, Robinson N M, Suls J
M, et al.Rumors about cancer:Content, sources, coping,transmission, and
belief[J]. Journal of HealthCommunication, 2012, 17(9):1099–1115.
[ 4 ] 罗昕. 新媒体时代“以用户为中心”的信息传播理念[J]. 今传媒, 2008(12):57–59.
[ 5 ] 范翥峰. 基于神经网络的伪造视频检测技术研究与实现[D]. 成都:电子科技大学, 2022.
[
6 ] Wang G, Jiang Q, Jin X, et al.
MC-LCR:Multi-modal
contrastive classification by locallycorrelated representations for effective
face forgerydetection[J]. Knowledge-Based Systems, 2022,250:e109114.
[ 7 ] Xue J, Wang Y, Tian Y, et al.
Detecting fakenews by exploring the consistency of multimodaldata[J].
Information Processing and Management,2021, 58(5):102610.
[ 8 ] Wu Y, Zhan P, Zhang
Y, et al. Multimodalfusion with co-attention networks for
fake newsdetection[C]. Findings of ACL 2021. Thailand,Bangkok, 2021.
[
9 ] 王昊, 龚丽娟, 周泽聿, 等. 融合语义增强的社交媒体虚假信息检测方法研究[J]. 数据分析与知识发现, 2023, 7(2):48–60.
[10] 李晓静. 社交媒体用户的信息加工与信任判断——基于眼动追踪的实验研究[J]. 新闻与传播研究, 2017, 24(10):49–67;127–128.
[11] 邓胜利, 付少雄. 社交媒体附加信息对用户信任与分享健康类谣言的影响分析[J]. 情报科学,2018, 36(3):51–57.
[12] 曹树金, 常倞玮. 社交媒体中的突发公共卫生事件信息可信度影响因素研究——以微信为例[J].现代情报, 2020, 40(9):3–14.
[13] Rosenthal S, Wasenden
O C, Gronnevet G A,et al. A tripartite model of trust in Facebook:acceptance of information
personalization,privacy
concern, and privacy literacy[J]. MediaPsychology, 2019(2):1–25.
[14] Deng S L, Fu S X, Liu Y, et al.
Modelling users’trust in online
health rumours:an experimentbasedstudy in China[J]. Information Research:AnInternational Electronic Journal, 2021, 26(1):e890.
[15] 刘宸玮. 深度伪造音频检测技术的研究与实现[D].广州:广州大学, 2022.
[16]
Jin Z W, Cao J, Zhang
Y D, et al. Novel visualand statistical image features for
microblogs newsverification[J]. IEEE Transactions on Multimedia,2017, 19(3):598–608.
[17] Pala, Banerjees, Kaur
A. What makes rumorrebuttals viral on social media?[C]. 202317th International
Conference on UbiquitousInformation Management and Communication(IMCOM), Seoul, Korea, 2023:1–6.
[18] Singhv K, Ghosh
I, Sonagara D. Detecting fakenews stories via multimodal
analysis[J]. Journalof the Association for Information Science andTechnology, 2021, 72(1):3–17.
[19] Zhou Y M, Qing Q
C, Qian Z X, et al.
Multimodalfake news detection with adaptive unimodalrepresentation
aggregation[EB/OL]. [2022-05-27].https://arxiv.org/abs/2205.14304.
[20] Li Y, Wang
X. Seeking Health information on social media:A perspective of trust, selfdetermination,and social support[J]. Journal ofOrganizational
and End User Computing, 2018,30(1):1–22.
[21] 潘曙雅, 祝宇欢, 谢乐滋. 中老年人对虚假短视频的识别判断路径分析[J]. 国际新闻界, 2023,45(2):127–155.
[22] 段秋婷, 张大伟, 谢兴政. 社交媒体隐私侵犯情境下的用户信任修复策略效果研究[J]. 图书馆学研究, 2022(3):75–86;68.
[23] Connolly R, Sanchez
O P, Compeau D, etal.
Understanding engagement in online healthcommunities:A trust-based perspective[J]. Journalof
the Association for Information Systems, 2023,24(2):345–378.
[24] Mccornack S
A. Information manipulationtheory[J]. Communications Monographs, 1992,59(1):1–16.
[25] 上海辟谣. 断章取义、恶意拼凑,自媒体打着官媒旗号造谣太恶劣[EB/OL]. [2023-0 4 - 2 3 ] . h t t p s : / / p i y a o .
j f d a i l y.com/py_7/kUlmJBm8TJp8MpHfQVoa8JpFlcVCrjqfxJR7Mr8tzCl1ItlTd/4ZCgVcuj3vrS7mhYWmp+62bk2hLd.
[26]
叶凤云, 常琳, 秦琴, 等. 基于虚假信息特征的社交媒体大学生用户感知信任研究[J/OL]. 情报理论与实践,1–13[2024-08-12].
http://kns.cnki.net/kcms/detail/11.1762.G3.20240418.1400.002.html.
[27] 张恬. 微博虚假信息产生的传播学解读[J]. 新闻传播, 2013,(11):172–173.
[28] 莫祖英, 王垲烁, 赵悦名. 社交媒体用户虚假信息从众传播行为影响模型实证研究[J]. 情报资料工作, 2023, 44(1):72–81.
[29] 张帅. 社交媒体虚假健康信息特征识别[J]. 图书情报工作, 2021, 65(9):70–78.
[30] 裘锡圭. 文字学概要(修订本)[M]. 北京:商务印书馆, 2013.
[31]
吴宏浩. 短视频新闻标题制作与传播策略[J]. 新闻世界, 2023, 381(1):61–64.
[32] Jin X L, Yin M, Zhou Z, et al.
The differentialeffects of trusting beliefs on social media users’willingness to adopt and share health
knowledge[J].Information Processing and Management, 2021,58(1):102413.
[33] Vafeiadis M, Xiao A
L. Fake news:Howemotions, involvement, need
for cognitionand rebuttal evidence(story vs. informational)influence consumer reactions toward a targetedorganization[J].
Public Relations Review, 2021,47(4):e102088.
[34] 韩宪柱.数字音频技术及其应用[M]. 北京:人民邮电出版社, 2003.
[35]
揭其涛. 内容、情绪及空间:泛媒介时代音频传播的回归与偏向[J]. 媒体融合新观察, 2023,218(2):26–29.
[36] London J, Li S Y, Sun H
S. Seems legit:Aninvestigation
of the assessing and sharing ofunverifiable messages on online social
networks[J].Information System Research, 2022, 33(3):978–1001.
[37] Xiao X, Li X, Yao J, et al.
Research on VideoFalsity Detection Based on Publisher andPublishing Environment
Features[C]//ArtificialIntelligence And Security, ICAIS 2022, PTIII.
Berlin, Heidelberg: Springer InternationalPublishing AG, 2022:56–70.
[38] Robson S, Banerjee
S, Kaur A, et al.
Brand postpopularity on social media: A
Systematic LiteratureReview[C]//Proceedings of the InternationalConference on
Ubiquitous InformationManagement and Communication, SungkyunkwanUniv, Seoul, IEEE, 2022.
[39]
Anotoiadis I, Paltsoglou S, Patoulidis
V. Postpopularity and reactions in retail brand pages onFacebook[J].
International Journal of Retail andDistribution Management, 2019, 47(9):957–973.
[40] Cheung C M K, Lee M
K O, Rabjohn N. Theimpact of electronic word-of-mouth the adoption
ofonline opinions in online customer communities[J].Internet Research. 2008, 18(3):229–247.
[41] Wu C, Shaffer
D R. Susceptibility to persuasiveappeals as a function of source credibility
and priorexperience with the attitude object[J]. Journal ofPersonality and
Social Psychology, 1987, 52(4):677–688.
[42] 钟毅平. 社会认知心理学[M]. 北京:教育科学出版社, 2012:156.
[43] 邓胜利,付少雄. 用户群体特征差异对健康信息搜寻行为的影响研究[J]. 信息资源管理学报,2016,6(4):5–11.
[44] Pal A, Chua A
Y K, Goh H L. How do usersrespond to online rumor rebuttals?
[J]. Computersin Human Behavior, 2019,106:e106243.
[45] 王路阳. 知识逻辑VS 传媒逻辑:新媒体语境下专家话语的“曲解化”研究[J]. 社科纵横, 2022,37(4):133–138.
[46] Song C G, Ning N
W, Zhang Y L, et al.
A multimodalfake news detection model based on crossmodalattention residual and
multichannel convolutionalneural networks[J]. Information Processing andManagement, 2021, 58(1):e102437.
[47] Vogel S. The power of video in social
media[J].Floor Covering Weekly, 2021,70(29):24.
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