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ソーシャルメディアにおけるフェイクニュース検出と対策

 ソーシャルメディアにおけるフェイクニュース検出と対策

2022年8月9日に行われてたセキュリティ・キャンプのAIセキュリティクラスの授業で用いた資料(一部公開用に修正)です。
主にフェイクニュース検出と最近のフェイクニュースが引き起こす問題について記述しています。

taichi_murayama

August 08, 2022
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  1. ιʔγϟϧϝσΟΞʹ͓͚Δ
    ϑΣΠΫχϡʔεݕग़ͱରࡦ
    5BJDIJ .VSBZBNB
    "*ηΩϡϦςΟΫϥε

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  2. 2
    l ϑΣΠΫχϡʔεݕग़ٕज़ʹ͍ͭͯͷ֓؍Λཧղ
    l ϑΣΠΫχϡʔεݕग़ٕज़ͷݶքʹ͍ͭͯཧղ
    l ۙ೥ͷϑΣΠΫχϡʔεରࡦͷਐలʹ͍ͭͯཧղ
    ໨ඪ

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  3. 3
    l'BLF/FXTzͱ͸ʁ

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  4. 4
    8IBU`T'BLF/FXT &YBNQMF
    &BSMZ'BLF/FXT
    Great Moon Hoax in 1835
    by The Sun
    German Corpse Factory in WWI
    by The Times of London

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  5. 5
    ೥ΞϝϦΧେ౷ྖબڍ
    l બڍલϲ݄Ͱ໿ສճɺީิऀਓ τϥϯϓࢯ ΫϦϯτϯ

    ͷϑΣΠΫχϡʔε͕'BDFCPPLͰ֦ࢄ
    8IBU`T'BLF/FXT &YBNQMF
    1. Allcott, Hunt, and Matthew Gentzkow. "Social media and fake news in the 2016 election." Journal of economic perspectives 31.2 (2017): 211-36.

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  6. 6
    $07*%ͱ'BLF/FXT
    8IBU`T'BLF/FXT &YBNQMF
    Vitamin C cures COVID-19 5G network spreads COVID-19

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  7. 7
    'BLF/FXTͱ͸ʁ
    8IBU`T'BLF/FXT %FGJOJUJPO

    View Slide

  8. 8
    'BLF/FXTͱ͸ʁ
    8IBU`T'BLF/FXT %FGJOJUJPO
    ໌֬ͳίϨͱ͍͏ఆٛ͸ଘࡏ͠ͳ͍

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  9. 9
    Secretary Brunnell Declares Fake News About His People is Being Telegraphed Over
    the Country.
    —Cincinnati Commercial Tribune (Concinnati, OH), 7 Jun. 1890
    Fake News. The following is handed to us for publication: Sunday’s Enterprise says that
    I and a companion were run over by the Neptune and thrown into the water. As can be
    proved by more than one, we did not so much as get our feet wet, nor were we helped
    into the Neptune. Clarence Collins.
    —The Kearney Daily Hub (Kearney, NE), 7 Jul. 1890
    8IBU`T'BLF/FXT %FGJOJUJPO
    2. https://www.merriam-webster.com/words-at-play/the-real-story-of-fake-news

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  10. 10
    8IBU`T'BLF/FXT %FGJOJUJPO
    2. https://www.merriam-webster.com/words-at-play/the-real-story-of-fake-news

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  11. 11
    'BLF/FXTͱ͸ʁ
    8IBU`T'BLF/FXT %FGJOJUJPO
    l &"7*ͷUZQFT
    3. https://eavi.eu/beyond-fake-news-10-types-misleading-info/

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  12. 12
    'BLF/FXTͱ͸ʁ
    8IBU`T'BLF/FXT %FGJOJUJPO
    l $MBJSF8BSEMFͷUZQFTPGNJT BOEEJTJOGPSNBUJPO
    4. https://firstdraftnews.org/fake-news-complicated/

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  13. 13
    'BLF/FXTͱ͸ʁ
    8IBU`T'BLF/FXT %FGJOJUJPO
    l 3FTFBSDI"SFB
    l ޿͍ఆٛ 'BLFOFXTJTGBMTFOFXT
    ޡ৘ใͰ͋Δ͜ͱ͕ཁ݅
    l ڱ͍ఆٛ 'BLFOFXTJTBOFXTBSUJDMFUIBUJTJOUFOUJPOBMMZ
    BOEWFSJGJBCMZGBMTF
    ੡࡞ऀ͕ҙਤతͰ͋ΓޡͬͯΔ৘ใͰ͋Δ͜ͱ͕ཁ݅
    5. Zhou, Xinyi, and Reza Zafarani. "A survey of fake news: Fundamental theories, detection methods, and opportunities." ACM Computing Surveys (CSUR) 53.5 (2020): 1-40.
    6. Lazer, David MJ, et al. "The science of fake news." Science 359.6380 (2018): 1094-1096.
    7. Shu, Kai, et al. "Fake news detection on social media: A data mining perspective." ACM SIGKDD explorations newsletter 19.1 (2017): 22-36.
    8. Allcott, Hunt, and Matthew Gentzkow. "Social media and fake news in the 2016 election." Journal of economic perspectives 31.2 (2017): 211-36.

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  14. 14
    'BLF/FXTͱ͸ʁ
    8IBU`T'BLF/FXT %FGJOJUJPO
    l 3FTFBSDI"SFB
    l ޿͍ఆٛ 'BLFOFXTJTGBMTFOFXT
    ޡ৘ใͰ͋Δ͜ͱ͕ཁ݅
    l ڱ͍ఆٛ 'BLFOFXTJTBOFXTBSUJDMFUIBUJTJOUFOUJPOBMMZ
    BOEWFSJGJBCMZGBMTF
    ੡࡞ऀ͕ҙਤతͰ͋ΓޡͬͯΔ৘ใͰ͋Δ͜ͱ͕ཁ݅
    5. Zhou, Xinyi, and Reza Zafarani. "A survey of fake news: Fundamental theories, detection methods, and opportunities." ACM Computing Surveys (CSUR) 53.5 (2020): 1-40.
    6. Lazer, David MJ, et al. "The science of fake news." Science 359.6380 (2018): 1094-1096.
    7. Shu, Kai, et al. "Fake news detection on social media: A data mining perspective." ACM SIGKDD explorations newsletter 19.1 (2017): 22-36.
    8. Allcott, Hunt, and Matthew Gentzkow. "Social media and fake news in the 2016 election." Journal of economic perspectives 31.2 (2017): 211-36.
    ࣮ࡍ͸
    ɾ৘ใ͕ޡΓͰ͋Δ͔Ͳ͏͔
    ɾϑΝΫτνΣοΫαΠτʹ൑அ͞Ε͔ͨ
    ͱ͍͏ཁૉͰ'BLF/FXTͱݺ͹ΕΔ͜ͱ͕΄ͱΜͲ

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  15. 15
    'BLF/FXTͱ͸ʁ
    8IBU`T'BLF/FXT %FGJOJUJPO
    l l'BLF/FXTzͱ͍͏༻ޠͷᐆດੑ
    l $MBJSF8BSEMFl'BLFOFXTJTXPFGVMMZJOBEFRVBUFUPEFTDSJCF
    UIFSFMBUFEJTTVFTBOEEJTUJOHVJTIFTCFUXFFOJOGPSNBUJPO
    DPOUFOUQSPCMFNTz
    l ӳࠃ੓෎ͷެࣜจॻͰz'BLF/FXTzͱ͍͏༻ޠΛ༻͍ͳ͍͜ͱͷܾఆ
    9. https://money.cnn.com/2017/11/03/media/claire-wardle-fake-news-reliable-sources-podcast/index.html

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  16. 16
    'BLF/FXTͱ͸ʁ
    8IBU`T'BLF/FXT %FGJOJUJPO
    l ҟͳΔ؍఺Ͱͷ੔ཧ
    l %JTJOGPSNBUJPO
    ҙਤతʹޡͬͨ৘ใ
    l .JTJOGPSNBUJPO
    ҙਤతͰ͸ͳ͍͕ޡͬͨ৘ใ

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  17. 17
    'BLF/FXTͱ͸ʁ
    8IBU`T'BLF/FXT %FGJOJUJPO
    l ҟͳΔ؍఺Ͱͷ੔ཧ
    l %JTJOGPSNBUJPO
    ҙਤతʹޡͬͨ৘ใ
    l .JTJOGPSNBUJPO
    ҙਤతͰ͸ͳ͍͕ޡͬͨ৘ใ
    ݸਓతʹ͸z'BLF/FXTzͱ͍͏༻ޠΛ༻͍ͣɺ͜ͷ؍఺Ͱޡͬͨ৘ใΛ
    ෼ྨ͍ͯ͘͠ͷ͕੔ཧ͠΍͍͢

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  18. 18
    ͳͥɺ'BLF/FXTΛ
    ରࡦ͢Δͷ͔ʁ

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  19. 19
    ͳͥ'BLF/FXTΛରࡦ͢Δͷ͔ʁ
    10. https://www.newsweek.com/2017/06/16/big-data-mines-personal-info-manipulate-voters-623131.html

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  20. 20
    ͳͥ'BLF/FXTΛରࡦ͢Δͷ͔ʁ
    11. https://www.npr.org/2018/07/18/629731693/fake-news-turns-deadly-in-india

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  21. 21
    ͳͥ'BLF/FXTΛରࡦ͢Δͷ͔ʁ
    12. https://www.washingtonpost.com/news/worldviews/wp/2013/04/23/syrian-hackers-claim-ap-hack-that-tipped-stock-market-by-136-billion-is-it-terrorism/

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  22. 22
    ͳͥ'BLF/FXTΛରࡦ͢Δͷ͔ʁ
    13. https://www.weforum.org/agenda/2020/11/tackling-covid-19-misinformation-who/

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  23. 23
    ͳͥ'BLF/FXTΛରࡦ͢Δͷ͔ʁ
    14. https://www.asahi.com/articles/ASN2X6CXLN2XULFA03L.html
    15. https://www.asahi.com/articles/ASQ5D7X35Q5BULEI00R.html

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  24. 24
    'BLF/FXTͱιʔγϟϧϝσΟΞ ωοτ
    ͷ਌࿨ੑͷߴ͞
    l ΞϝϦΧࡏॅͷେਓҎ্͕χϡʔεΛ4PDJBM.FEJB͔Βऔಘ
    l ೔ຊͰ΋ωοτΛ௨ͨ͡χϡʔεऔಘ͕૿Ճ
    16. https://www.pewresearch.org/journalism/2021/01/12/news-use-across-social-media-platforms-in-2020/
    17. https://www.soumu.go.jp/johotsusintokei/linkdata/h27_06_houkoku.pdf

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  25. 25
    'BLF/FXTͱιʔγϟϧϝσΟΞ ωοτ
    ͷ਌࿨ੑͷߴ͞
    l ถେ౷ྖબڍͷϑΣΠΫχϡʔε͕ϚέυχΞͰ࡞੒͞Ε
    ສυϧՔ͙
    18. https://www.nbcnews.com/news/world/fake-news-how-partying-macedonian-teen-earns-thousands-publishing-lies-n692451

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  26. 26
    l ೔ຊͰ͸ϛυϧϝσΟΞͷଘࡏ͕ιʔγϟϧϝσΟΞͰͷϑΣΠ
    Ϋχϡʔε֦ࢄͷҰ໾Λ୲͍ͬͯΔͱ͍͏ࢦఠ
    19. https://www.soumu.go.jp/main_content/000749423.pdf
    'BLF/FXTͱιʔγϟϧϝσΟΞ ωοτ
    ͷ਌࿨ੑͷߴ͞

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  27. 27
    l ʮڞ༗ʯ 3FUXFFU΍4IBSF
    ͱ͍͏γεςϜʹΑͬͯͭͷ౤ߘ
    ͕ଟ͘ͷਓؒͷ໨ʹ;ΕΔՄೳੑ͕ߴ͍
    l 'BLF/FXT͸ਖ਼͍͠৘ใΑΓ΋଎͘఻ΘΓ΍͍͢
    l &DIP$IBNCFS΍1PMBSJ[BUJPOͳͲͷޮՌ΋ؔ܎
    'BLF/FXTͱιʔγϟϧϝσΟΞ ωοτ
    ͷ਌࿨ੑͷߴ͞
    20. Vosoughi, Soroush, Deb Roy, and
    Sinan Aral. "The spread of true and
    false news online." science 359.6380
    (2018): 1146-1151.

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  28. 28
    ೔ຊͷ'BLF/FXT

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  29. 29
    'BLF/FXTJO+BQBO

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  30. 30
    ྫτΠϨοτϖʔύʔ૽ಈ JO$07*%
    'BLF/FXTJO+BQBO
    ೥݄೔͔Β೥݄೔ͷτΠϨοτϖʔύʔ͕
    ؚΉ UXFFUT

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  31. 31
    'BLF/FXTJO+BQBO

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  32. 32
    'BLF/FXTJO+BQBO
    $07*%ʹΑΔτΠϨοτϖʔύʔ඼੾Ε౤ߘ
    35ҎԼ ࡟আࡁΈ

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  33. 33
    'BLF/FXTJO+BQBO
    ʮ$07*%ʹΑͬͯτΠϨοτϖʔύʔ͕඼ബ͸ޡΓʯ
    ͱ͍͏౤ߘ͕ສҎ্ͷ35

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  34. 34
    'BLF/FXTJO+BQBO
    τΠϨοτϖʔύʔͷ඼੾Εͷใࠂ
    21. より詳細な分析: ⿃海不⼆夫, 榊剛史, and 吉⽥光男. "ソーシャルメディアを⽤いた新型コロナ禍における感情変化の分析." ⼈⼯知能学会論⽂誌 35.4 (2020): F-K45_1.

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  35. 35
    ϑΝΫτνΣοΫػؔ'BDU$IFDL*OJUJBUJWF
    'BLF/FXTJO+BQBO
    l ϑΝΫτνΣοΫͱ͸ɺൃ৴͞Εͨ৘ใ͕٬
    ؍తࣄ࣮ʹجͮ͘΋ͷͳͷ͔Λௐࠪ͠ɺਖ਼֬
    ͳ৘ใΛਓʑͱڞ༗͢Δߦҝɻ ਅِݕূ
    l ೔ຊͰ͸'BDU$IFDL*OJUJBUJWF+BQBO
    l ΞϝϦΧͰ͸4OPQFT΍1PMJUJGBDUͳͲ͕༗໊
    l ϑΝΫτνΣοΫͷࠃࡍݪଇ

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  36. 36
    ϑΣΠΫχϡʔεݕग़ख๏ͷͨΊ
    l 2ͲͷΑ͏ͳ৘ใ͕͋Ε͹ಛఆͷ౤ߘ͕ʢਓ޻஌ೳ ػցֶश
    ʹΑͬͯʣϑΣΠΫχϡʔεͰ͋Δͱ൑அͰ͖Δ͔ʁ
    l 2ϑΣΠΫχϡʔεΛൃݟɾରࡦ͢ΔͨΊʹݕग़Ҏ֎ʹඞཁͳ
    ͜ͱ͸ʁ
    ϑΣΠΫχϡʔεݕग़ʹ޲͚ͯ

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  37. 37
    'BLF/FXT
    ݕग़Ϟσϧ

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  38. 38
    جຊతʹఏҊ͞ΕΔϞσϧͰ͸ҎԼͷ؍఺ͷ޻෉͕ߦΘΕΔ
    l ͲͷΑ͏ͳಛ௃Λ༻͍Δͷ͔ʁ
    l ༻͍ͨಛ௃Λ্ख͘׆༻Ͱ͖Δ͔ػցֶशϞσϧΛͲͷΑ͏ʹߏங
    ͢Δͷ͔ʁ
    l ʢ࠷ۙ͸ʣͲͷΑ͏ͳ෇ՃՁ஋ΛՃ͑Δͷ͔ʁʢ৴པੑͳͲʣ
    ϑΣΠΫχϡʔεݕग़Ϟσϧͷ֓ཁ
    機械学習モデル
    フェイクニュースの
    可能性のある投稿に
    関する情報 (特徴量)
    ⼊⼒ 出⼒
    Fake
    or
    True

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  39. 39
    l ೥
    ϑΣΠΫχϡʔεݕग़ݚڀ͕੝ΜʹͳΓ࢝ΊΔ
    l d೥ࠒ
    ಛ௃ྔͷ࡞੒ͲͷΑ͏ͳಛ௃Λ༻͍Δͷ͔ʁ༻͍Δಛ௃ΛͲͷΑ
    ͏ʹ࡞੒͢Δͷ͔ʁ 'FBUVSF

    ϑΣΠΫχϡʔεݕग़Ϟσϧͷ֓ཁ
    機械学習モデル
    フェイクニュースの
    可能性のある投稿に
    関する情報 (特徴量)
    ⼊⼒ 出⼒
    Fake
    or
    True
    22. Castillo, Carlos, Marcelo Mendoza, and Barbara Poblete. "Information credibility on twitter." Proceedings of the 20th international conference on World wide web. 2011.

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  40. 40
    l ೥ࠒ dਂ૚ֶशϞσϧͷಋೖ "SDIJUFDUVSF

    l ೖྗͱ͞ΕΔಛ௃ΛʮͲͷΑ͏ʹͯ͠ʯޮ཰ྑ͘૊Έ߹ΘͤΔͷ͔ʁ
    l ಛ௃ྔͱͯ͠ར༻͠ʹ͔ͬͨ͘৘ใͷ׆༻
    ը૾΍,OPXMFEHFHSBQI

    ϑΣΠΫχϡʔεݕग़Ϟσϧͷ֓ཁ
    機械学習モデル
    フェイクニュースの
    可能性のある投稿に
    関する情報 (特徴量)
    ⼊⼒ 出⼒
    Fake
    or
    True

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  41. 41
    l ೥ࠒ dݕग़ਫ਼౓Ҏ֎ͷՁ஋ͷ୳ࡧ
    l ৴པ౓ɾղऍੑͷ޲্
    l ڭࢣͳ͠ʹΑΔϑΣΠΫχϡʔε୳ࡧ
    l ελϯεݕग़΍੓࣏ۃੑݕग़ͳͲͷଞλεΫͱಉֶ࣌श
    l σϞͳͲʹΑΔՄࢹԽ
    ϑΣΠΫχϡʔεݕग़Ϟσϧͷ֓ཁ
    機械学習モデル
    フェイクニュースの
    可能性のある投稿に
    関する情報 (特徴量)
    ⼊⼒ 出⼒
    Fake
    or
    True
    23. Shu, Kai, et al. "defend: Explainable fake news detection." Proceedings of the 25th ACM SIGKDD international conference on knowledge discovery & data mining. 2019.
    24. Gangireddy, Siva Charan Reddy, Cheng Long, and Tanmoy Chakraborty. "Unsupervised fake news detection: A graph-based approach." Proceedings of the 31st ACM
    conference on hypertext and social media. 2020.
    25. Ghanem, Bilal, Paolo Rosso, and Francisco Rangel. "Stance detection in fake news a combined feature representation." Proceedings of the first workshop on fact
    extraction and VERification (FEVER). 2018.
    26. Yang, Fan, Shiva K. Pentyala, Sina Mohseni, Mengnan Du, Hao Yuan, Rhema Linder, Eric D. Ragan, Shuiwang Ji, and Xia Hu. "Xfake: Explainable fake news detector with
    visualizations." In The World Wide Web Conference, pp. 3600-3604. 2019.

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  42. 42
    l 5XJUUFSͷ౤ߘ܈͔Βநग़ͨ͠ಛ௃ྔ͔Β5SVFͱ'BMTFΛ൑ఆɻ
    Ϟσϧ͸47.΍ܾఆ໦ͳͲΛར༻
    ॳظϑΣΠΫχϡʔεݕग़Ϟσϧl*OGPSNBUJPO$SFEJCJMJUZPO5XJUUFSz
    27. Castillo, Carlos, Marcelo Mendoza, and Barbara Poblete. "Information credibility on twitter." Proceedings of the 20th international conference on World wide web. 2011.
    Message
    User
    Topic
    Propagation

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  43. 43
    ݕग़Ϟσϧͷ
    'FBUVSF

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  44. 44
    ςΩετΛػցֶशʹೖྗ͢Δͱ͖ʹසൟ
    ʹ༻͍ΒΕΔྫ
    l #BHPGXPSET
    ޠΛҰҙͷ஋ʹׂΓ౰ͯΔ
    l /HSBNT
    ࿈ଓͨ͠ฒͼΛ֬཰Ͱදݱ
    l 5'*%'
    ޠͷॏཁ౓ͷࢦඪ
    ୯ޠͷग़ݱස౓ͱจষؒͷ௝͠͞Ͱࢉग़
    ϑΣΠΫχϡʔεݕग़ͷͨΊͷಛ௃ྔͷ୳ࡧςΩετಛ௃ྔ -FYJDPO

    US researchers
    discover a huge
    cat!!!!
    Over 5 meters…
    User A
    @userA
    \l64z
    lSFTFBSDIFSTz
    lEJTDPWFSz ʜ^
    1 lSFTFBSDIFSTzcl64z

    1 lEJTDPWFSzczSFTFBSDIFSTz

    l64zͷશग़ݱճ਺ º
    l64z͕ग़ݱ͢Δ௝͠͞

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  45. 45
    ߏจ໦ͷ׆༻
    l 1BSU0G4QFFDI5BHT
    l $POUFYU'SFF(SBNNBST $'(T

    ϑΣΠΫχϡʔεݕग़ͷͨΊͷಛ௃ྔͷ୳ࡧςΩετಛ௃ྔ 4ZOUBY

    28. Feng, Song, Ritwik Banerjee, and Yejin Choi. "Syntactic stylometry for deception
    detection." Proceedings of the 50th Annual Meeting of the Association for
    Computational Linguistics (Volume 2: Short Papers). 2012.
    // lIPUFMz lBOZUIJOHz

    %5 lUIJTz

    /1
    ˠ %5//
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  46. 46
    1TZDIPMJOHVJTUJDXPSETͷ׆༻
    l ޠኮͷΧςΰϦࣙॻ -JOHVJTUJD*ORVJSZBOE8PSE$PVOU -*8$

    ϑΣΠΫχϡʔεݕग़ͷͨΊͷಛ௃ྔͷ୳ࡧςΩετಛ௃ྔ 4FNBOUJD

    29. Zhou, Xinyi, et al. "Fake news early detection: A theory-driven model." Digital Threats: Research and Practice 1.2 (2020): 1-25.
    30. https://www.liwc.app/
    1PTJUJWFMPWF OJDF TXFFU
    /FHBUJWFIVSU VHMZ OBTUZ
    "OYJUFUZXPSSJFE GFBSGVM
    *OTJHIUUIJOL LOPX
    $BVTBUJPOCFDBVTF FGGFDU
    %JTDSFQBODZTIPVME XPVME

    View Slide

  47. 47
    l 3FBEBCJMJUZࢦඪͷ׆༻
    จষͷ௕͞΍ൃԻه߸ɺ୯ޠͷ೉͔͠͞ΒಡΈ΍͢͞Λ਺஋Խ
    ϑΣΠΫχϡʔεݕग़ͷͨΊͷಛ௃ྔͷ୳ࡧςΩετಛ௃ྔ 4FNBOUJD

    4XFBSGVDL EBNO TIJU
    /FUTQFBLCUX MPM UIY
    "TTFOUBHSFF 0, ZFT
    /POGMVFODJFTFS IN VNN

    View Slide

  48. 48
    l ෼ࢄදݱͷ׆༻
    l ޠΛϕΫτϧදݱͱͯ͠දͨ͠΋ͷ XPSEFNCFEEJOHͱ΋

    l ʮ୯ޠͷҙຯ͸ɼपғͷ୯ޠʹΑͬͯܗ੒͞ΕΔʯͱ͍͏෼෍Ծઆʹجͮ
    ͍ͯɺޠͷҙຯදݱΛϕΫτϧͱֶͯ͠श
    l lLJOHr NBOXPNBORVFFOzͷΑ͏ͳ
    ྨਪ͕Մೳ
    ϑΣΠΫχϡʔεݕग़ͷͨΊͷಛ௃ྔͷ୳ࡧςΩετಛ௃ྔ 4FNBOUJD

    View Slide

  49. 49
    l ෼ࢄදݱͷ׆༻
    l ޠͷ෼ࢄදݱͱͯ͠ͷ୅දྫ8PSE7FD
    l จॻͷ෼ࢄදݱͱͯ͠୅දྫ%PD7FD
    ϑΣΠΫχϡʔεݕग़ͷͨΊͷಛ௃ྔͷ୳ࡧςΩετಛ௃ྔ 4FNBOUJD


    ݘ
    ύϯμ
    Bag of Words Word2Vec
    ೣ\ ʜ^
    ݘ\ ʜ^
    ύϯμ\ ʜ^
    ࣍ݩ
    31. Mikolov, Tomas, et al. "Efficient estimation of word representations in vector space." arXiv preprint arXiv:1301.3781 (2013)
    32. Le, Quoc, and Tomas Mikolov. "Distributed representations of sentences and documents." International conference on machine learning. PMLR, 2014.

    View Slide

  50. 50
    ϑΣΠΫχϡʔεݕग़ͷͨΊͷಛ௃ྔͷ୳ࡧςΩετಛ௃ྔ
    29. Zhou, Xinyi, et al. "Fake news early detection: A theory-driven model." Digital Threats: Research and Practice 1.2 (2020): 1-25.

    View Slide

  51. 51
    ͦͷଞͷςΩετಛ௃ྔ
    ϑΣΠΫχϡʔεݕग़ͷͨΊͷಛ௃ྔͷ୳ࡧςΩετಛ௃ྔ
    33. Zhou, Xinyi, and Reza Zafarani. "Fake news: A survey of research, detection methods, and opportunities." arXiv preprint arXiv:1812.00315 2 (2018).

    View Slide

  52. 52
    Ϣʔβಛ௃ྔ
    l Ұ෦ͷϢʔβ͕සൟʹϑΣΠΫ
    χϡʔεΛ֦ࢄ͍ͯ͠Δ
    l #PUͳͲ΋ϑΣΠΫχϡʔε֦ࢄ
    ͷ໾ׂΛ୲͏
    ϑΣΠΫχϡʔεݕग़ͷͨΊͷಛ௃ྔͷ୳ࡧϢʔβಛ௃ྔ
    34. Rath, Bhavtosh, Aadesh Salecha, and Jaideep Srivastava. "Detecting fake news spreaders in social networks using inductive representation learning." 2020
    IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM). IEEE, 2020.
    35. Murthy, Dhiraj, et al. "Automation, algorithms, and politics| Bots and political influence: A sociotechnical investigation of social network capital." International
    journal of communication 10 (2016): 20.
    36. Ferrara, Emilio, et al. "The rise of social bots." Communications of the ACM 59.7 (2016): 96-104.

    View Slide

  53. 53
    ϑΣΠΫχϡʔεݕग़ͷͨΊͷಛ௃ྔͷ୳ࡧ
    37. Ma, Jing, et al. "Detect rumors using time series of social context information on microblogging websites." Proceedings of the 24th ACM international on
    conference on information and knowledge management. 2015.
    @userA
    CIKM2015 “Detect rumors using time series of
    social context information on microblogging
    websites”
    旅⾏が⼤好き。旅⾏の写真を挙げます!
    アメリカ|インド|ロシア横断|アフリカ
    お腹が空いにゃん
    ペコペコだ
    たけし@旅⾏好き
    たけし@旅⾏好き @userA

    View Slide

  54. 54
    ৘ใ఻೻ύλʔϯ
    l ϑΣΠΫχϡʔεͱ௨ৗͷχϡʔεͰ͸఻ൖύλʔϯ͕ҟͳΔ
    ϑΣΠΫχϡʔεݕग़ͷͨΊͷಛ௃ྔͷ୳ࡧ৘ใ఻೻ύλʔϯ
    20. Vosoughi, Soroush, Deb Roy, and
    Sinan Aral. "The spread of true and
    false news online." science 359.6380
    (2018): 1146-1151.

    View Slide

  55. 55
    ৘ใ఻೻ύλʔϯ
    l ϑΣΠΫχϡʔεͱ௨ৗͷχϡʔεͰ͸఻ൖύλʔϯ͕ҟͳΔ
    ϑΣΠΫχϡʔεݕग़ͷͨΊͷಛ௃ྔͷ୳ࡧ৘ใ఻೻ύλʔϯ
    38. Kwon, Sejeong, et al. "Prominent
    features of rumor propagation in
    online social media." 2013 IEEE 13th
    international conference on data
    mining. IEEE, 2013.

    View Slide

  56. 56
    ϑΣΠΫχϡʔεݕग़ͷͨΊͷಛ௃ྔͷ୳ࡧ৘ใ఻೻ύλʔϯ
    38. Zhou, Xinyi, and Reza Zafarani. "Fake news: A survey of research, detection methods, and opportunities." arXiv preprint arXiv:1812.00315 2 (2018).
    )PQCBTFEDBTDBEF 5JNFCBTFEDBTDBEF
    l ఻ൖάϥϑͷ࡞੒

    View Slide

  57. 57
    l )BOEDSBGUFEGFBUVSFTͷநग़
    ϑΣΠΫχϡʔεݕग़ͷͨΊͷಛ௃ྔͷ୳ࡧ৘ใ఻೻ύλʔϯ
    39. Kwon, Sejeong, et al. "Prominent features of rumor propagation in online social media."
    2013 IEEE 13th international conference on data mining. IEEE, 2013.

    View Slide

  58. 58
    l )BOEDSBGUFEGFBUVSFTͷநग़
    ϑΣΠΫχϡʔεݕग़ͷͨΊͷಛ௃ྔͷ୳ࡧ৘ใ఻೻ύλʔϯ
    -BSHFTUDPOOFDUFE
    DPNQPOFOU -$$

    ωοτϫʔΫͷ࠷େ݁
    ߹੒෼
    39. Kwon, Sejeong, et al. "Prominent features of rumor propagation in online social media."
    2013 IEEE 13th international conference on data mining. IEEE, 2013.

    View Slide

  59. 59
    l άϥϑΧʔωϧΛ༻͍ͨ఻ൖύλʔϯͷྨࣅ౓ʹΑΔ෼ྨ
    l 1SPQBHBUJPO5SFFಉ࢜ͷྨࣅ౓Λ3BOEPN8BML(SBQI,FSOFMΛ༻͍
    ͯܭࢉ
    ϑΣΠΫχϡʔεݕग़ͷͨΊͷಛ௃ྔͷ୳ࡧ৘ใ఻೻ύλʔϯ
    40. Wu, Ke, Song Yang, and Kenny Q. Zhu. "False rumors detection on sina
    weibo by propagation structures." 2015 IEEE 31st international conference
    on data engineering. IEEE, 2015.

    View Slide

  60. 60
    ࣌ؒύλʔϯ
    ϑΣΠΫχϡʔεݕग़ͷͨΊͷಛ௃ྔͷ୳ࡧ࣌ؒύλʔϯ
    41. Kwon, Sejeong, et al. "Prominent features of rumor propagation in online social media." 2013 IEEE 13th international conference on data mining. IEEE, 2013.

    View Slide

  61. 61
    ࣌ؒύλʔϯ
    ϑΣΠΫχϡʔεݕग़ͷͨΊͷಛ௃ྔͷ୳ࡧ࣌ؒύλʔϯ
    41. Kwon, Sejeong, et al. "Prominent features of rumor propagation in online social media."
    2013 IEEE 13th international conference on data mining. IEEE, 2013.
    42. Murayama, Taichi, Shoko Wakamiya, and Eiji Aramaki. "Fake news detection using
    temporal features extracted via point process." arXiv preprint arXiv:2007.14013 (2020).
    l ײછ঱ϞσϧʹΑΔϞσϧԽ
    l ఺աఔϞσϧʹΑΔϞσϧԽ

    View Slide

  62. 62
    ϑΣΠΫχϡʔεݕग़ͷͨΊͷಛ௃ྔͷ୳ࡧը૾৘ใ
    43. Zhou, Xinyi, Jindi Wu, and Reza Zafarani. "Safe: similarity-aware multi-modal
    fake news detection (2020)." Preprint. arXiv 200304981 (2020).
    44. Wang, Y., Tahmasbi, F., Blackburn, J., Bradlyn, B., De Cristofaro, E., Magerman,
    D., ... & Stringhini, G. (2021, June). Understanding the Use of Fauxtography on
    Social Media. In ICWSM (pp. 776-786).
    Fake news with image43 fauxtography44
    ը૾৘ใ

    View Slide

  63. 63
    ϑΣΠΫχϡʔεݕग़ͷͨΊͷಛ௃ྔͷ୳ࡧը૾৘ใ
    45. Jin, Zhiwei, et al. "Novel visual and statistical image features for microblogs news verification." IEEE transactions on multimedia 19.3 (2016): 598-608.
    ͭͷಛ௃ྔΛநग़ͯ͠ར༻
    l 7JTVBM$MBSJUZ4DPSFը૾ͷ෼෍ͱίʔύ
    ε಺ͷը૾ͷ෼෍ͷҧ͍
    l 7JTVBM$PIFSFODF4DPSFχϡʔεهࣄத
    ͷը૾ϖΞͷฏۉྨࣅ౓
    l 7JTVBM4JNJMBSJUZ%JTUSJCVUJPO)JTUPHSBN
    ը૾ྨࣅ౓ͷ෼෍ώετάϥϜ
    l 7JTVBM%JWFSTJUZ4DPSFը૾ϖΞؒͷ
    EJTTJNJMBSJUZͷՃॏฏۉ
    l 7JTVBM$MVTUFSJOH4DPSFχϡʔεهࣄͷ
    ը૾Ϋϥελ਺
    )BOEDSBGUFEը૾ಛ௃ʹΑΔϑΣΠΫχϡʔεݕग़

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  64. 64
    ϑΣΠΫχϡʔεݕग़ͷͨΊͷಛ௃ྔͷ୳ࡧωοτϫʔΫ৘ใ
    5. Zhou, Xinyi, and Reza Zafarani. "A survey of fake news:
    Fundamental theories, detection methods, and opportunities."
    ACM Computing Surveys (CSUR) 53.5 (2020): 1-40.
    ωοτϫʔΫ৘ใ

    View Slide

  65. 65
    ϑΣΠΫχϡʔεݕग़ͷͨΊͷಛ௃ྔͷ୳ࡧ
    ϑΣΠΫχϡʔεݕग़ʹΑ͘༻͍ΒΕΔಛ௃
    l ςΩετ৘ใ
    l Ϣʔβ৘ใ
    l ৘ใ఻ൖΧεέʔυ
    l ࣌ؒ৘ใ
    l ը૾
    l ωοτϫʔΫ৘ใ

    View Slide

  66. 66
    ݕग़Ϟσϧͷ
    "SDIJUFDUVSF

    View Slide

  67. 67
    සൟʹ༻͍ΒΕΔਂ૚ֶशϞσϧ
    l 3FDVSSFOU/FVSBM/FUXPSL 3//

    l $POWPMVUJPOBM/FVSBM/FUXPSL $//

    l (SBQI/FVSBM/FUXPSL (//

    l 5SBOTGPSNFSCBTFE/FVSBM/FUXPSL
    ਂ૚ֶशϞσϧͷಋೖ

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  68. 68
    3FDVSSFOU/FVSBM/FUXPSL 3//

    ਂ૚ֶशϞσϧͷಋೖ
    Value
    Times
    l ࣌ؒͷભҠΛଊ͑ΔͨΊͷϞσϧɻ͜Ε·Ͱͷೖྗ͕কདྷͷ஋ʹ
    ӨڹΛ༩͑Δ

    View Slide

  69. 69
    3FDVSSFOU/FVSBM/FUXPSL 3//

    ਂ૚ֶशϞσϧͷಋೖ
    私 は うなぎ の 洋⾷

    View Slide

  70. 70
    3FDVSSFOU/FVSBM/FUXPSL 3//

    ਂ૚ֶशϞσϧͷಋೖ
    46, https://www.simplilearn.com/tutorials/deep-learning-tutorial/rnn
    l -45.΍(36ͳͲ΋ͦͷҰछ

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  71. 71
    $POWPMVUJPOBM/FVSBM/FUXPSL $//

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    47. https://www.ibm.com/cloud/learn/convolutional-neural-networks
    l ৞ΈࠐΈχϡʔϥϧωοτϫʔΫͱ΋
    l ը૾ͷҰ෦ྖҬΛϑΟϧλΛద༻͠ѹॖͨ͠ϕΫτϧΛ࡞੒

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  72. 72
    $POWPMVUJPOBM/FVSBM/FUXPSL $//

    ਂ૚ֶशϞσϧͷಋೖ
    48. Borovykh, Anastasia, Sander Bohte, and
    Cornelis W. Oosterlee. "Dilated convolutional
    neural networks for time series forecasting."
    Journal of Computational Finance,
    Forthcoming (2018).
    l ը૾͚ͩͰͳ͘ɺςΩετ΍࣌ؒ৘ใʹ΋ద༻Մೳ SFG%JBMUFE
    $//

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  73. 73
    (SBQI/FVSBM/FUXPSL (//

    l ϊʔυͱΤοδͰߏ੒͞ΕΔάϥϑͷ৘ใΛଊ͑ΔͨΊͷϞσϧ
    l ΤοδΛ௨ͯ͡ߦΘΕΔ৘ใͷ఻ൖΛ༷ʑͳΞʔΩςΫνϟΛ༻
    ͍ͯදݱ
    ਂ૚ֶशϞσϧͷಋೖ
    49. Zhang, Ziwei, Peng Cui, and Wenwu Zhu.
    "Deep learning on graphs: A survey." IEEE
    Transactions on Knowledge and Data
    Engineering (2020).

    View Slide

  74. 74
    (SBQI/FVSBM/FUXPSL (//

    l $//CBTFEͷྫ֤ϊʔυͷ͙͢ྡͷϊʔυͱڞʹ৞ΈࠐΈ
    ਂ૚ֶशϞσϧͷಋೖ
    49. Zhang, Ziwei, Peng Cui, and Wenwu Zhu.
    "Deep learning on graphs: A survey." IEEE
    Transactions on Knowledge and Data
    Engineering (2020).

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  75. 75
    5SBOTGPSNFSCBTFE/FVSBM/FUXPSL
    l ͜͜਺೥Ͱࣗવݴޠॲཧɺը૾ॲཧͷϝΠϯͱ
    ͳ͍ͬͯΔΞʔΩςΫνϟ
    l 1PTJUJPOBM&ODPEJOH.VMUJIFBE4FMG
    BUUFOUJPOͱ'FFE'PSXBSEͷ૊Έ߹ΘͤͰߏ੒
    l 5SBOTGPSNFS͸࣌ܥྻσʔλΛҰ౓ʹֶश
    ਂ૚ֶशϞσϧͷಋೖ

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  76. 76
    ਂ૚ֶशϞσϧͷಋೖ
    4FMGBUUFOUJPO
    ⼊⼒系列の
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    Attention Map : M
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    𝑊#
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    Output
    𝑠𝑜𝑓𝑡𝑚𝑎𝑥(
    𝑄𝐾'
    𝑑
    )

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  77. 77
    ਂ૚ֶशϞσϧͷಋೖ
    4FMGBUUFOUJPO
    ⼊⼒系列の
    潜在表現
    系列⻑ × 次元数
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    𝑊!
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    Attention Map : M
    系列⻑ × 系列⻑
    𝑊#
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    Output
    𝑠𝑜𝑓𝑡𝑚𝑎𝑥(
    𝑄𝐾'
    𝑑
    )
    興味があれば: https://qiita.com/enoughspacefor/items/c9810d1065741a7f461c
    த਎͸Ұ୴ஔ͍ͱ͍ͯɺɺɺ

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  78. 78
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    ਂ૚ֶशϞσϧͷಋೖ
    l ֶशϞσϧ͕ॏࢹ͍ͯ͠Δ෦෼
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  79. 79
    5SBOTGPSNFSCBTFE/FVSBM/FUXPSL
    5SBOTGPSNFSʹΑͬͯೖྗ৘ใΛฒྻతʹଊ͑Δ͜ͱͰ
    l $//Ͱ͸ہॴతͳ෦෼͔͠ଊ͑ΒΕͳ͔ͬͨ
    l 3//Ͱ͸ޯ഑ফࣦ΍ܭࢉ࣌ؒͷ໰୊͕͋ͬͨ
    ͱ͍ͬͨ໰୊ʹରॲ
    ਂ૚ֶशϞσϧͷಋೖ

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  80. 80
    ਂ૚ֶशϞσϧCBTFEͷϑΣΠΫχϡʔεݕग़
    50. MA, Jing, et al. "Detecting rumors from microblogs with recurrent neural
    networks.(2016)." Proceedings of the 25th International Joint Conference on Artificial Intelligence (IJCAI
    2016).
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    l ਂ૚ֶशϕʔεͷϞσϧΛ༻͍ͨ
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  81. 81
    ਂ૚ֶशϞσϧCBTFEͷϑΣΠΫχϡʔεݕग़
    51. Ma, Jing, Wei Gao, and Kam-Fai Wong. "Rumor detection on twitter with tree-structured recursive neural networks." Association for Computational Linguistics, 2018.
    "$-.BFUBM 3W//
    l ໦ߏ଄ֶ͕शͰ͖Δ3FDVSTJWFOFVSBM
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    l ฦ৴Ϣʔβ͸ɼϑΣΠΫχϡʔε΍ਖ਼͍͠
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    l Χεέʔυߏ଄Λద੾ʹֶशͰ͖ΔϞσϧΛ
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  82. 82
    ਂ૚ֶशϞσϧCBTFEͷϑΣΠΫχϡʔεݕग़
    52. Shu, Kai, et al. "defend: Explainable fake news detection." Proceedings of the 25th ACM
    SIGKDD international conference on knowledge discovery & data mining. 2019.
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    l "UUFOUJPOʹج͍ͮͯχϡʔεͷ಺༰ͱͦͷ
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  83. 83
    ਂ૚ֶशϞσϧCBTFEͷϑΣΠΫχϡʔεݕग़
    53. Lu, Yi-Ju, and Cheng-Te Li. "GCAN: Graph-aware Co-Attention Networks for
    Explainable Fake News Detection on Social Media." Proceedings of the 58th
    Annual Meeting of the Association for Computational Linguistics. 2020.
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    l 35ͨ͠ϢʔβͷॱংΛ$//ͱ(36
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    l ౤ߘ಺༰ͱ35ΛߦͬͨϢʔβ
    ͷ৘ใͱ͍͏ݶΒΕͨ৘ใͰ
    ౤ߘͷਅِͷ༧ଌ͕Մೳͳ఺͕ಛ௃ RTしたユーザの情報

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  84. 84
    ਂ૚ֶशϞσϧCBTFEͷϑΣΠΫχϡʔεݕग़
    54. Shu, Kai, Suhang Wang, and Huan Liu. "Beyond news contents: The role of social context for fake news detection." Proceedings of the twelfth ACM international
    conference on web search and data mining. 2019.
    84%.4IV,BJFUBM 5SJ'/

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  85. 85
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    84%.4IV,BJFUBM 5SJ'/

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  86. 86
    ਂ૚ֶशϞσϧCBTFEͷϑΣΠΫχϡʔεݕग़
    55. Tian, Lin, Xiuzhen Jenny Zhang, and Jey Han Lau. "DUCK: Rumour Detection on Social Media by Modelling User and Comment Propagation Networks."
    Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. 2022.
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    57. Qian, Shengsheng, et al. "Hierarchical multi-modal contextual attention network for fake news detection." Proceedings of the 44th International ACM SIGIR
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    58. Ma, Jing, Wei Gao, and Kam-Fai Wong. "Detect rumors in microblog posts using propagation structure via kernel learning." Association for Computational
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    58. Liu, Yang, and Yi-Fang Wu. "Early detection of fake news on social media through propagation path classification with recurrent and convolutional networks."
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    l σδλϧϦςϥγʔΠϯλʔωοτʹؔ͢Δ৘ใΛಡΈऔΓɺॻ͖ࠐΈɺදࣔɺ࡞੒͢
    Δೳྗ
    l ৘ใϦςϥγʔ৘ใΛద੾ʹ൑அ͠ɺͦΕʹج͍ܾͮͯఆ͢Δೳྗ
    ͜ͷ͏ͪɺ৘ใϦςϥγʔ͕ϑΣΠΫχϡʔεΛݟ෼͚ΔՄೳੑΛ༗ҙʹߴΊ
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    㱺ϦςϥγʔΛߴΊΔ͜ͱ͕ϑΣΠΫχϡʔε֦ࢄ཈੍ʹ༗ޮ
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    ϑΣΠΫχϡʔεݕग़λεΫͷҰาઌ


    l (VBSEJBOϑΣΠΫχϡʔεΛࢦఠ͢Δ
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    l (VBSEJBOΛࣗಈతʹൃݟɺੜ੒͢Δ
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    l గਖ਼Ϣʔβ͕ެࣜΞΧ΢ϯτͳͲͰ͋Δ
    ͱޡใͷࢦఠΛ৴͡ΔՄೳੑ͕Ξοϓ
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    ϓϥοτϑΥʔϜͷରࡦ'BDFCPPL
    ϑΣΠΫχϡʔεݕग़λεΫͷҰาઌ
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    ϓϥοτϑΥʔϜͷରࡦ5XJUUFS
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    ϓϥοτϑΥʔϜܯࠂͷ༗ޮੑ
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    l ܯࠂΛ୯७ʹఏࣔ͢ΔΑΓ΋ɺܯࠂϥϕϧ
    Λੜ੒͢Δཧ༝Λఏࣔ͢Δ͜ͱͰܯࠂϥϕ
    ϧΛ৴͡ΔՄೳੑ্͕ঢ
    l ϑΣΠΫχϡʔεݕग़ͳͲͷ౤ߘγεςϜ
    ʹ͓͍ͯ"UUFOUJPOͳͲͷՄࢹԽ͸ͦ͜·Ͱ
    ༗ޮͰ͸ͳ͍
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    ϑΣΠΫχϡʔε؇࿨ख๏ͷݕ౼
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    ϑΣΠΫχϡʔε.JUJHBUJPOͷͨΊͷཧ࿦తݚڀ͕
    ۙ೥૿Ճ
    l ਅͷ৘ใΛ֦ࢄͯ͠ϑΣΠΫχϡʔεʹର߅͢Δ
    ϑϨʔϜϫʔΫͷఏҊ
    l ϑΣΠΫχϡʔεʹײછͨ͠ϢʔβΛൃݟ͠ɺҟ
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    Ҋ
    ࣮ূݚڀ΋ͦΖͦΖग़͖ͯͦ͏ʜ

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    ϑΣΠΫχϡʔε
    ʹؔ࿈͢Δ໰୊

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    ΤίʔνΣϯόʔ ෼ۃԽ

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    ΤίʔνΣϯόʔ ෼ۃԽ

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    l ΤίʔνΣϯόʔ؀ڥ͸ϑΣΠΫχϡ
    ʔεͷ֦ࢄΛڧΊΔͱͱ΋ʹɺۃ୺
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    l ΤίʔνΣϯόʔޮՌ͸࣮ࡍͷࣾձʹ
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    ɺϢʔβͷ޷͖ͳ΋ͷ͹͔Γݟͤ޷·ͳ͍΋
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    l αʔϏεͷਪનϞσϧ͸ΤίʔνΣϯόʔޮ
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    l ൓ରͷҙݟΛࣔ͢͜ͱͰҙݟͷଟ༷ੑ͸֬อ
    ͞ΕΔɺҰํͰόοΫϑΝΠΞޮՌ΋
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    όοΫϑΝΠΞޮՌ
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    l ݸਓͷ৴೦ʹ߹Θͳ͍గਖ਼Λ༩͑ΒΕͨͱ͠
    ͯ΋ɺͦͷగਖ਼Λ৴ͣ͡ɺ͔͑ͬͯగਖ਼ʹΑ
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    l όοΫϑΝΠΞޮՌΛࣔ͢Ϣʔβ͸ɺෆฏෆ
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    ϑΣΠΫχϡʔεʹؔ࿈͢Δ໰୊
    l ಛఆͷ໨తʹ޲͚ͯௌऺʹӨڹΛ༩͑
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    ʹ࿪Ίͯ఻͑Δίϛϡχέʔγϣϯ
    l Πϯλʔωοτͷ୆಄ʹΑͬͯɺϓϩ
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    Γࣾձ໰୊ͱͳΔ τϩʔϧͳͲ

    l ϓϩύΨϯμݕग़λεΫͷొ৔
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    τϩʔϧ
    ϑΣΠΫχϡʔεʹؔ࿈͢Δ໰୊
    l ࠃՈʹΑͬͯࢧԉ͞ΕͨϑΣΠΫχ
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    l ྫಛఆͷ੓࣏తٞ࿦Λਪਐ͢ΔͨΊ
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    l ྫΩϦετڭె޲͚ϖʔδͷଟ͕͘
    τϩʔϧʹΑͬͯ࡞੒
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    ΫϦοΫϕΠτ
    ϑΣΠΫχϡʔεʹؔ࿈͢Δ໰୊
    From: https://writing-for-the-web.fandom.com/wiki/Clickbait
    l τϥϑΟοΫΛҾ͖෇͚ɼ޿
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    l ಺༰ࣗମʹ͸ޡΓ͕ແ͍͕ɺ
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    ϑΣΠΫχϡʔεʹؔ࿈͢Δ໰୊
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    l ϑΣΠΫχϡʔεͳͲͷ֦ࢄʹد༩͍ͯ͠ΔϢʔβ
    l 'BLF/FXT.JUJHBUJPOઓུʹ͓͍ͯɺ͜ͷΑ͏ͳϢʔβΛൃ
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    101. Brown, Tom, et al. "Language models are few-shot learners." Advances in neural information processing systems 33 (2020): 1877-1901.
    (15ʹΑΔχϡʔεੜ੒

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    from: https://gulfbusiness.com/deepfakes-novel-trend-or-novel-threat/
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    l 4UZMF("/
    102. Karras, Tero, Samuli Laine, and
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    ments/wf1lz8/napoleon_crossing_the_
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