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To effectively carry out research on advertorial detection, we have constructed a multi-topic advertorial dataset in Chinese with rich social information. This dataset is obtained from the Chinese question-answering platform ZHIHU, and it is publicly available to facilitate further research.\n                    <jats:xref ref-type=\"fn\">\n                      <jats:sup>1<\/jats:sup>\n                    <\/jats:xref>\n                    Furthermore, we propose AdDetector, a novel dual-tower model that detects advertorials by jointly leveraging the article\u2019s textual and social information. In addition, we use fine-grained sentence-level classification labels to improve the model\u2019s generalization capability on previously unseen topic articles. Experiment results show that our model significantly improves the\n                    <jats:inline-formula content-type=\"math\/tex\">\n                      <jats:tex-math notation=\"LaTeX\" version=\"MathJax\">\\(F_1\\)<\/jats:tex-math>\n                    <\/jats:inline-formula>\n                    score by 1.29% in the intra-domain advertorial detection setting and 1.52% in the transfer setting in comparison with several strong baselines. The extensive ablation studies and thorough performance analyses also validate the complementary and beneficial values of the novel components of AdDetector. We also make our source code publicly available to facilitate future studies.\n                    <jats:xref ref-type=\"fn\">\n                      <jats:sup>2<\/jats:sup>\n                    <\/jats:xref>\n                    This research provides crucial support for user protection and advertising management.\n                  <\/jats:p>","DOI":"10.1145\/3797268","type":"journal-article","created":{"date-parts":[[2026,2,14]],"date-time":"2026-02-14T11:31:21Z","timestamp":1771068681000},"page":"1-32","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["AdDetector: Detecting Chinese Advertorials on Social Media Platforms with Textual and Social Information"],"prefix":"10.1145","volume":"25","author":[{"ORCID":"https:\/\/orcid.org\/0009-0002-4248-4587","authenticated-orcid":false,"given":"Haitao","family":"Bai","sequence":"first","affiliation":[{"name":"Xi'an Jiaotong University","place":["Xi'an, China"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1434-837X","authenticated-orcid":false,"given":"Pinghui","family":"Wang","sequence":"additional","affiliation":[{"name":"Xi'an Jiaotong University","place":["Xi'an, China"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4063-0109","authenticated-orcid":false,"given":"Ruofei","family":"Zhang","sequence":"additional","affiliation":[{"name":"Apple Inc","place":["Cupertino, United States"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-1418-9537","authenticated-orcid":false,"given":"Zi","family":"Liang","sequence":"additional","affiliation":[{"name":"The Hong Kong Polytechnic University","place":["Hong Kong, China"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0009-3107-7311","authenticated-orcid":false,"given":"Ziyang","family":"Zhou","sequence":"additional","affiliation":[{"name":"Xi'an Jiaotong University","place":["Xi'an, China"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6518-3130","authenticated-orcid":false,"given":"Zhou","family":"Su","sequence":"additional","affiliation":[{"name":"Xi'an Jiaotong University","place":["Xi'an, China"]}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2026,3,6]]},"reference":[{"key":"e_1_3_2_2_2","unstructured":"Josh Achiam Steven Adler Sandhini Agarwal Lama Ahmad Ilge Akkaya Florencia Leoni Aleman Diogo Almeida Janko Altenschmidt Sam Altman Shyamal Anadkat et\u00a0al. 2023. 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