{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,21]],"date-time":"2026-01-21T05:52:23Z","timestamp":1768974743549,"version":"3.49.0"},"reference-count":54,"publisher":"Association for Computing Machinery (ACM)","issue":"1","license":[{"start":{"date-parts":[[2020,12,30]],"date-time":"2020-12-30T00:00:00Z","timestamp":1609286400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":["ACM Trans. Cyber-Phys. Syst."],"published-print":{"date-parts":[[2021,1,31]]},"abstract":"<jats:p>Today we are relying on Internet technologies for numerous services, for example, personal communication, online businesses, recruitment, and entertainment. Over these networks, people usually create content, a skillful worker profile, and provide services that are normally watched and used by other users, thus developing a social network among people termed as the Internet of People. Malicious users could also utilize such platforms for spreading unwanted content that could bring catastrophic consequences to a social network provider and the society, if not identified on time. The use of trust management over these networks plays a vital role in the success of these services. Crowd-sensing people or network users for their views about certain content or content creators could be a potential solution to assess the trustworthiness of content creators and their content. However, the human involvement in crowd-sensing would have challenges of privacy preservation and preventing intentional assignment of the fake high score given to certain user\/content. To address these challenges, in this article, we propose a novel trust model that evaluates the aggregate trustworthiness of the content creator and the content without compromising the privacy of the participating people in a crowdsource group. The proposed system has inherent properties of privacy protection of participants, performs operations in the decentralized setup, and considers the trust weights of participants in a private and secure way. The system ensures privacy of participants under the malicious and honest-but-curious adversarial models. We evaluated the performance of the system by developing a prototype and applying it to different real data from different online social networks.<\/jats:p>","DOI":"10.1145\/3390860","type":"journal-article","created":{"date-parts":[[2020,7,7]],"date-time":"2020-07-07T12:37:24Z","timestamp":1594125444000},"page":"1-24","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":5,"title":["Privacy-preserving Crowd-sensed Trust Aggregation in the User-centeric Internet of People Networks"],"prefix":"10.1145","volume":"5","author":[{"given":"Muhammad Ajmal","family":"Azad","sequence":"first","affiliation":[{"name":"School of Computing, The University of Derby, United Kingdom"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Charith","family":"Perera","sequence":"additional","affiliation":[{"name":"School of Computer Science and Informatics, Cardiff University, United Kingdom"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Samiran","family":"Bag","sequence":"additional","affiliation":[{"name":"Department of Computer Science, Warwick University, United Kingdom"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mahmoud","family":"Barhamgi","sequence":"additional","affiliation":[{"name":"Claude Bernard Lyon 1 University, France"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Feng","family":"Hao","sequence":"additional","affiliation":[{"name":"Department of Computer Science, Warwick University, United Kingdom"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2020,12,30]]},"reference":[{"key":"e_1_2_1_1_1","volume-title":"Proceedings of the 2017 IEEE Symposium on Security and Privacy (SP\u201917)","author":"Fischer F.","unstructured":"F. Fischer , K. B\u00f6ttinger , H. Xiao , C. Stransky , Y. Acar , M. Backes , and S. Fahl . 2017. Stack overflow considered harmful? The impact of copy paste on Android application security . In Proceedings of the 2017 IEEE Symposium on Security and Privacy (SP\u201917) . 121--136. F. Fischer, K. B\u00f6ttinger, H. Xiao, C. Stransky, Y. Acar, M. Backes, and S. Fahl. 2017. Stack overflow considered harmful? The impact of copy paste on Android application security. In Proceedings of the 2017 IEEE Symposium on Security and Privacy (SP\u201917). 121--136."},{"key":"e_1_2_1_2_1","unstructured":"The Guardian. 2018. Google\u2019s Bad Week: YouTube Loses Millions as Advertising Row Reaches US. Retrieved from https:\/\/www.theguardian.com\/technology\/2017\/mar\/25\/google-youtube-advertising-extremist-content-att-verizon.  The Guardian. 2018. Google\u2019s Bad Week: YouTube Loses Millions as Advertising Row Reaches US. Retrieved from https:\/\/www.theguardian.com\/technology\/2017\/mar\/25\/google-youtube-advertising-extremist-content-att-verizon."},{"key":"e_1_2_1_3_1","unstructured":"CNN. 2018. Google Loses More Advertisers over Hate Videos. Retrieved from http:\/\/money.cnn.com\/2017\/06\/07\/technology\/google-youtube-hate-videos-isis\/index.html.  CNN. 2018. Google Loses More Advertisers over Hate Videos. Retrieved from http:\/\/money.cnn.com\/2017\/06\/07\/technology\/google-youtube-hate-videos-isis\/index.html."},{"key":"e_1_2_1_4_1","unstructured":"The Verge. 2018. YouTuber Logan Paul Apologizes for Filming Suicide Victim Says I Did Not Do It for Views. Retrieved from https:\/\/www.theverge.com\/2018\/1\/2\/16840176\/logan-paul-suicide-video-apology-aokigahara-forest.  The Verge. 2018. YouTuber Logan Paul Apologizes for Filming Suicide Victim Says I Did Not Do It for Views. Retrieved from https:\/\/www.theverge.com\/2018\/1\/2\/16840176\/logan-paul-suicide-video-apology-aokigahara-forest."},{"key":"e_1_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.5555\/1706428.1706462"},{"key":"e_1_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1109\/PST.2014.6890927"},{"key":"e_1_2_1_7_1","volume-title":"Mining YouTube to discover extremist videos, users and hidden communities","author":"Sureka Ashish","unstructured":"Ashish Sureka , Ponnurangam Kumaraguru , Atul Goyal , and Sidharth Chhabra . 2010. Mining YouTube to discover extremist videos, users and hidden communities . In Information Retrieval Technology, Pu-Jen Cheng, Min-Yen Kan, Wai Lam, and Preslav Nakov (Eds.). Springer , Berlin , 13--24. Ashish Sureka, Ponnurangam Kumaraguru, Atul Goyal, and Sidharth Chhabra. 2010. Mining YouTube to discover extremist videos, users and hidden communities. In Information Retrieval Technology, Pu-Jen Cheng, Min-Yen Kan, Wai Lam, and Preslav Nakov (Eds.). Springer, Berlin, 13--24."},{"key":"e_1_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICPR.2010.793"},{"key":"e_1_2_1_9_1","volume-title":"Proceedings of the 2014 International Conference on Computer Vision Theory and Applications (VISAPP\u201914)","volume":"2","author":"Deniz O.","unstructured":"O. Deniz , I. Serrano , G. Bueno , and T. Kim . 2014. Fast violence detection in video . In Proceedings of the 2014 International Conference on Computer Vision Theory and Applications (VISAPP\u201914) , Vol. 2 . 478--485. O. Deniz, I. Serrano, G. Bueno, and T. Kim. 2014. Fast violence detection in video. In Proceedings of the 2014 International Conference on Computer Vision Theory and Applications (VISAPP\u201914), Vol. 2. 478--485."},{"key":"e_1_2_1_10_1","volume-title":"A safer YouTube kids: An extra layer of content filtering using automated multimodal analysis","author":"Alghowinem Sharifa","unstructured":"Sharifa Alghowinem . 2019. A safer YouTube kids: An extra layer of content filtering using automated multimodal analysis . In Intelligent Systems and Applications, Kohei Arai, Supriya Kapoor, and Rahul Bhatia (Eds.). Springer International Publishing , Cham , 294--308. Sharifa Alghowinem. 2019. A safer YouTube kids: An extra layer of content filtering using automated multimodal analysis. In Intelligent Systems and Applications, Kohei Arai, Supriya Kapoor, and Rahul Bhatia (Eds.). Springer International Publishing, Cham, 294--308."},{"key":"e_1_2_1_11_1","volume-title":"Proceedings of the IEEE International Conference on Computer Communications (INFOCOM\u201911)","author":"Sirivianos M.","year":"2011","unstructured":"M. Sirivianos , K. Kim , and X. Yang . 2011. SocialFilter: Introducing social trust to collaborative spam mitigation . In Proceedings of the IEEE International Conference on Computer Communications (INFOCOM\u201911) . 2300--2308. DOI:http:\/\/dx.doi.org\/10.1109\/INFCOM. 2011 .5935047 10.1109\/INFCOM.2011.5935047 M. Sirivianos, K. Kim, and X. Yang. 2011. SocialFilter: Introducing social trust to collaborative spam mitigation. In Proceedings of the IEEE International Conference on Computer Communications (INFOCOM\u201911). 2300--2308. DOI:http:\/\/dx.doi.org\/10.1109\/INFCOM.2011.5935047"},{"key":"e_1_2_1_12_1","volume-title":"Proceedings of the 4th International Conference on Peer-to-Peer Computing. 176--183","author":"Damiani E.","year":"2004","unstructured":"E. Damiani , S. De Capitani di Vimercati, S. Paraboschi, and P. Samarati. 2004. P2P-based collaborative spam detection and filtering . In Proceedings of the 4th International Conference on Peer-to-Peer Computing. 176--183 . DOI:http:\/\/dx.doi.org\/10.1109\/PTP. 2004 .1334945 10.1109\/PTP.2004.1334945 E. Damiani, S. De Capitani di Vimercati, S. Paraboschi, and P. Samarati. 2004. P2P-based collaborative spam detection and filtering. In Proceedings of the 4th International Conference on Peer-to-Peer Computing. 176--183. DOI:http:\/\/dx.doi.org\/10.1109\/PTP.2004.1334945"},{"key":"e_1_2_1_13_1","unstructured":"BBC News. 2018. YouTube Publishes Deleted Videos Report. Retrieved from http:\/\/www.bbc.co.uk\/news\/technology-43868633.  BBC News. 2018. YouTube Publishes Deleted Videos Report. Retrieved from http:\/\/www.bbc.co.uk\/news\/technology-43868633."},{"key":"e_1_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1145\/775152.775242"},{"key":"e_1_2_1_15_1","volume-title":"Proceedings of the 14th USENIX Conference on Networked Systems Design and Implementation (NSDI\u201917)","author":"Corrigan-Gibbs Henry","year":"2017","unstructured":"Henry Corrigan-Gibbs and Dan Boneh . 2017 . Prio: Private, robust, and scalable computation of aggregate statistics . In Proceedings of the 14th USENIX Conference on Networked Systems Design and Implementation (NSDI\u201917) . USENIX Association, Berkeley, CA, 259--282. http:\/\/dl.acm.org\/citation.cfm?id=3154630.3154652. Henry Corrigan-Gibbs and Dan Boneh. 2017. Prio: Private, robust, and scalable computation of aggregate statistics. In Proceedings of the 14th USENIX Conference on Networked Systems Design and Implementation (NSDI\u201917). USENIX Association, Berkeley, CA, 259--282. http:\/\/dl.acm.org\/citation.cfm?id=3154630.3154652."},{"key":"e_1_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1109\/SP.2014.31"},{"key":"e_1_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1145\/2660267.2660348"},{"key":"e_1_2_1_18_1","volume-title":"Proceedings of the 42nd ACM Symposium on Theory of Computing (STOC\u201910)","author":"Dwork Cynthia","year":"1806","unstructured":"Cynthia Dwork , Moni Naor , Toniann Pitassi , and Guy N. Rothblum . 2010. Differential privacy under continual observation . In Proceedings of the 42nd ACM Symposium on Theory of Computing (STOC\u201910) . ACM, New York, NY, 715--724. DOI:http:\/\/dx.doi.org\/10.1145\/ 1806 689.1806787 10.1145\/1806689.1806787 Cynthia Dwork, Moni Naor, Toniann Pitassi, and Guy N. Rothblum. 2010. Differential privacy under continual observation. In Proceedings of the 42nd ACM Symposium on Theory of Computing (STOC\u201910). ACM, New York, NY, 715--724. DOI:http:\/\/dx.doi.org\/10.1145\/1806689.1806787"},{"key":"e_1_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-35311-6_28"},{"key":"e_1_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1145\/2229012.2229076"},{"key":"e_1_2_1_21_1","unstructured":"GDPR. 2018. GDPR Portal: Site Overview. Retrieved from https:\/\/www.eugdpr.org\/.  GDPR. 2018. GDPR Portal: Site Overview. Retrieved from https:\/\/www.eugdpr.org\/."},{"key":"e_1_2_1_22_1","first-page":"4","article-title":"TrustVote: Privacy-preserving node ranking in vehicular networks","volume":"6","author":"Azad M. A.","year":"2019","unstructured":"M. A. Azad , S. Bag , S. Parkinson , and F. Hao . 2019 . TrustVote: Privacy-preserving node ranking in vehicular networks . IEEE IoT J. 6 , 4 (August 2019), 5878--5891. DOI:http:\/\/dx.doi.org\/10.1109\/JIOT.2018.2880839 10.1109\/JIOT.2018.2880839 M. A. Azad, S. Bag, S. Parkinson, and F. Hao. 2019. TrustVote: Privacy-preserving node ranking in vehicular networks. IEEE IoT J. 6, 4 (August 2019), 5878--5891. DOI:http:\/\/dx.doi.org\/10.1109\/JIOT.2018.2880839","journal-title":"IEEE IoT J."},{"key":"e_1_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1109\/DSN.2009.5270323"},{"key":"e_1_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1109\/MCOM.2015.7180511"},{"key":"e_1_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2017.2767019"},{"key":"e_1_2_1_26_1","volume-title":"Proceedings of the IEEE 35th Annual IEEE International Conference on Computer Communications (INFOCOM\u201916)","author":"Jin X.","year":"2016","unstructured":"X. Jin and Y. Zhang . 2016. Privacy-preserving crowdsourced spectrum sensing . In Proceedings of the IEEE 35th Annual IEEE International Conference on Computer Communications (INFOCOM\u201916) . 1--9. DOI:http:\/\/dx.doi.org\/10.1109\/INFOCOM. 2016 .7524588 10.1109\/INFOCOM.2016.7524588 X. Jin and Y. Zhang. 2016. Privacy-preserving crowdsourced spectrum sensing. In Proceedings of the IEEE 35th Annual IEEE International Conference on Computer Communications (INFOCOM\u201916). 1--9. DOI:http:\/\/dx.doi.org\/10.1109\/INFOCOM.2016.7524588"},{"key":"e_1_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1109\/TNET.2018.2823272"},{"key":"e_1_2_1_28_1","volume-title":"Theory of Cryptography","author":"Dwork Cynthia","unstructured":"Cynthia Dwork , Frank McSherry , Kobbi Nissim , and Adam Smith . 2006. Calibrating noise to sensitivity in private data analysis . In Theory of Cryptography , Shai Halevi and Tal Rabin (Eds.). Springer , Berlin , 265--284. Cynthia Dwork, Frank McSherry, Kobbi Nissim, and Adam Smith. 2006. Calibrating noise to sensitivity in private data analysis. In Theory of Cryptography, Shai Halevi and Tal Rabin (Eds.). Springer, Berlin, 265--284."},{"key":"e_1_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2018.2834232"},{"key":"e_1_2_1_30_1","doi-asserted-by":"publisher","DOI":"10.1080\/15427951.2004.10129096"},{"key":"e_1_2_1_31_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2003.1250993"},{"key":"e_1_2_1_32_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2012.2190726"},{"key":"e_1_2_1_33_1","doi-asserted-by":"publisher","DOI":"10.1109\/TETC.2017.2771251"},{"key":"e_1_2_1_34_1","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2018.2861765"},{"key":"e_1_2_1_35_1","doi-asserted-by":"publisher","DOI":"10.14722\/ndss.2016.23175"},{"key":"e_1_2_1_36_1","doi-asserted-by":"publisher","DOI":"10.1145\/3308558.3313474"},{"key":"e_1_2_1_37_1","doi-asserted-by":"publisher","DOI":"10.1145\/3133956.3133982"},{"key":"e_1_2_1_38_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-22792-9_8"},{"key":"e_1_2_1_39_1","doi-asserted-by":"publisher","DOI":"10.1145\/3277505"},{"key":"e_1_2_1_40_1","unstructured":"Luca Melis George Danezis and Emiliano De Cristofaro. 2015. Efficient private statistics with succinct sketches. arxiv:1508.06110. Retrieved from http:\/\/arxiv.org\/abs\/1508.06110.  Luca Melis George Danezis and Emiliano De Cristofaro. 2015. Efficient private statistics with succinct sketches. arxiv:1508.06110. Retrieved from http:\/\/arxiv.org\/abs\/1508.06110."},{"key":"e_1_2_1_41_1","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2019.2898900"},{"key":"e_1_2_1_42_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.cose.2019.05.009"},{"key":"e_1_2_1_43_1","doi-asserted-by":"publisher","DOI":"10.1145\/1867713.1867715"},{"key":"e_1_2_1_44_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2019.2913232"},{"key":"e_1_2_1_45_1","doi-asserted-by":"publisher","DOI":"10.1109\/TNSE.2019.2892583"},{"key":"e_1_2_1_46_1","volume-title":"Proceedings of the 23rd USENIX Conference on Security Symposium (SEC\u201914)","author":"Fredrikson Matthew","year":"2014","unstructured":"Matthew Fredrikson , Eric Lantz , Somesh Jha , Simon Lin , David Page , and Thomas Ristenpart . 2014 . Privacy in pharmacogenetics: An end-to-end case study of personalized warfarin dosing . In Proceedings of the 23rd USENIX Conference on Security Symposium (SEC\u201914) . USENIX Association, Berkeley, CA, 17--32. http:\/\/dl.acm.org\/citation.cfm?id=2671225.2671227 Matthew Fredrikson, Eric Lantz, Somesh Jha, Simon Lin, David Page, and Thomas Ristenpart. 2014. Privacy in pharmacogenetics: An end-to-end case study of personalized warfarin dosing. In Proceedings of the 23rd USENIX Conference on Security Symposium (SEC\u201914). USENIX Association, Berkeley, CA, 17--32. http:\/\/dl.acm.org\/citation.cfm?id=2671225.2671227"},{"key":"e_1_2_1_47_1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2791588"},{"key":"e_1_2_1_48_1","doi-asserted-by":"publisher","DOI":"10.1109\/TDSC.2017.2753245"},{"key":"e_1_2_1_49_1","doi-asserted-by":"publisher","DOI":"10.1049\/iet-ifs.2008.0127"},{"key":"e_1_2_1_50_1","volume-title":"Proceedings of the 2014 Electronic Voting Technology Workshop\/Workshop on Trustworthy Elections (EVT\/WOTE\u201914)","author":"Hao Feng","year":"2014","unstructured":"Feng Hao , Matthew N. Kreeger , Brian Randell , Dylan Clarke , Siamak F. Shahandashti , and Peter Hyun-Jeen Lee . 2014 . Every vote counts: Ensuring integrity in large-scale electronic voting . In Proceedings of the 2014 Electronic Voting Technology Workshop\/Workshop on Trustworthy Elections (EVT\/WOTE\u201914) . USENIX Association. Feng Hao, Matthew N. Kreeger, Brian Randell, Dylan Clarke, Siamak F. Shahandashti, and Peter Hyun-Jeen Lee. 2014. Every vote counts: Ensuring integrity in large-scale electronic voting. In Proceedings of the 2014 Electronic Voting Technology Workshop\/Workshop on Trustworthy Elections (EVT\/WOTE\u201914). USENIX Association."},{"key":"e_1_2_1_51_1","doi-asserted-by":"publisher","DOI":"10.5555\/1885535.1885554"},{"key":"e_1_2_1_52_1","unstructured":"Abhijnan Chakraborty Gourab K. Patro Niloy Ganguly Krishna P. Gummadi and Patrick Loiseau. 2018. Equality of Voice: Towards Fair Representation in Crowdsourced Top-K Recommendations. arxiv:cs.SI\/1811.08690. Retrieved from https:\/\/arxiv.org\/abs\/1811.08690.  Abhijnan Chakraborty Gourab K. Patro Niloy Ganguly Krishna P. Gummadi and Patrick Loiseau. 2018. Equality of Voice: Towards Fair Representation in Crowdsourced Top-K Recommendations. arxiv:cs.SI\/1811.08690. Retrieved from https:\/\/arxiv.org\/abs\/1811.08690."},{"key":"e_1_2_1_53_1","volume-title":"Proceedings of the 15th Bled Electronic Commerce Conference.","author":"J\u00f8sang Audun","year":"2002","unstructured":"Audun J\u00f8sang and Roslan Ismail . 2002 . The beta reputation system . In Proceedings of the 15th Bled Electronic Commerce Conference. Audun J\u00f8sang and Roslan Ismail. 2002. The beta reputation system. In Proceedings of the 15th Bled Electronic Commerce Conference."},{"key":"e_1_2_1_54_1","volume-title":"Proceedings of the Conference Znalosti","author":"Brozovsky Lukas","year":"2007","unstructured":"Lukas Brozovsky and Vaclav Petricek . 2007 . Recommender system for online dating service . In Proceedings of the Conference Znalosti 2007. VSB, Ostrava. Lukas Brozovsky and Vaclav Petricek. 2007. Recommender system for online dating service. In Proceedings of the Conference Znalosti 2007. VSB, Ostrava."}],"container-title":["ACM Transactions on Cyber-Physical Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3390860","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3390860","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T22:38:36Z","timestamp":1750199916000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3390860"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,12,30]]},"references-count":54,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2021,1,31]]}},"alternative-id":["10.1145\/3390860"],"URL":"https:\/\/doi.org\/10.1145\/3390860","relation":{},"ISSN":["2378-962X","2378-9638"],"issn-type":[{"value":"2378-962X","type":"print"},{"value":"2378-9638","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,12,30]]},"assertion":[{"value":"2019-07-01","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2020-03-01","order":1,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2020-12-30","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}