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#hivi — Public Fediverse posts

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  1. Closing remarks by Valérie Schafer. She created several memes with generative AI to thank the participants.

    End of #HIVI conference, good bye, Luxembourg.

    hivi.uni.lu/2024/06/25/hivi-fi

  2. Closing remarks by Valérie Schafer. She created several memes with generative AI to thank the participants.

    End of #HIVI conference, good bye, Luxembourg.

    hivi.uni.lu/2024/06/25/hivi-fi

  3. Closing remarks by Valérie Schafer. She created several memes with generative AI to thank the participants.

    End of #HIVI conference, good bye, Luxembourg.

    hivi.uni.lu/2024/06/25/hivi-fi

  4. Closing remarks by Valérie Schafer. She created several memes with generative AI to thank the participants.

    End of #HIVI conference, good bye, Luxembourg.

    hivi.uni.lu/2024/06/25/hivi-fi

  5. Closing remarks by Valérie Schafer. She created several memes with generative AI to thank the participants.

    End of #HIVI conference, good bye, Luxembourg.

    hivi.uni.lu/2024/06/25/hivi-fi

  6. We could use memes for good and useful action, not just for fun and right-wing propaganda.

    #HIVI

  7. We could use memes for good and useful action, not just for fun and right-wing propaganda.

    #HIVI

  8. We could use memes for good and useful action, not just for fun and right-wing propaganda.

    #HIVI

  9. We could use memes for good and useful action, not just for fun and right-wing propaganda.

    #HIVI

  10. We could use memes for good and useful action, not just for fun and right-wing propaganda.

    #HIVI

  11. Good morning, Luxembourg! Third and, sadly, last day of the #HIVI conference on online virality hivi.uni.lu/2024/06/25/hivi-fi

    (Report: it's cold outside, better come to the conference.)

  12. Good morning, Luxembourg! Third and, sadly, last day of the #HIVI conference on online virality hivi.uni.lu/2024/06/25/hivi-fi

    (Report: it's cold outside, better come to the conference.)

  13. Good morning, Luxembourg! Third and, sadly, last day of the #HIVI conference on online virality hivi.uni.lu/2024/06/25/hivi-fi

    (Report: it's cold outside, better come to the conference.)

  14. Good morning, Luxembourg! Third and, sadly, last day of the #HIVI conference on online virality hivi.uni.lu/2024/06/25/hivi-fi

    (Report: it's cold outside, better come to the conference.)

  15. Good morning, Luxembourg! Third and, sadly, last day of the #HIVI conference on online virality hivi.uni.lu/2024/06/25/hivi-fi

    (Report: it's cold outside, better come to the conference.)

  16. AI generated images: why do people like and forward the obviously fake images of kids building incredible sand sculptures?

    #HIVI

  17. AI generated images: why do people like and forward the obviously fake images of kids building incredible sand sculptures?

    #HIVI

  18. AI generated images: why do people like and forward the obviously fake images of kids building incredible sand sculptures?

    #HIVI

  19. AI generated images: why do people like and forward the obviously fake images of kids building incredible sand sculptures?

    #HIVI

  20. AI generated images: why do people like and forward the obviously fake images of kids building incredible sand sculptures?

    #HIVI

  21. There were memes before the Internet. The analysis of a chain letter in the USA in the 19th century.

    It was not a scam but a real fundraising system.

    Fun fact : the number of people that you "must" relay the letter to, increased when the photocopiers became common.

    #HIVI

  22. There were memes before the Internet. The analysis of a chain letter in the USA in the 19th century.

    It was not a scam but a real fundraising system.

    Fun fact : the number of people that you "must" relay the letter to, increased when the photocopiers became common.

    #HIVI

  23. There were memes before the Internet. The analysis of a chain letter in the USA in the 19th century.

    It was not a scam but a real fundraising system.

    Fun fact : the number of people that you "must" relay the letter to, increased when the photocopiers became common.

    #HIVI

  24. There were memes before the Internet. The analysis of a chain letter in the USA in the 19th century.

    It was not a scam but a real fundraising system.

    Fun fact : the number of people that you "must" relay the letter to, increased when the photocopiers became common.

    #HIVI

  25. There were memes before the Internet. The analysis of a chain letter in the USA in the 19th century.

    It was not a scam but a real fundraising system.

    Fun fact : the number of people that you "must" relay the letter to, increased when the photocopiers became common.

    #HIVI

  26. Now, the results of the workshop of meme analysis.

    First, "Momo challenge", a moral panic claiming there is an Internet chain letter, asking you to do every day a worst challenge, culminating in suicide. No documented case.

    The team notes that the supposed monster was represented as female..

    #HIVI

  27. Now, the results of the workshop of meme analysis.

    First, "Momo challenge", a moral panic claiming there is an Internet chain letter, asking you to do every day a worst challenge, culminating in suicide. No documented case.

    The team notes that the supposed monster was represented as female..

    #HIVI

  28. Now, the results of the workshop of meme analysis.

    First, "Momo challenge", a moral panic claiming there is an Internet chain letter, asking you to do every day a worst challenge, culminating in suicide. No documented case.

    The team notes that the supposed monster was represented as female..

    #HIVI

  29. Now, the results of the workshop of meme analysis.

    First, "Momo challenge", a moral panic claiming there is an Internet chain letter, asking you to do every day a worst challenge, culminating in suicide. No documented case.

    The team notes that the supposed monster was represented as female..

    #HIVI

  30. Now, the results of the workshop of meme analysis.

    First, "Momo challenge", a moral panic claiming there is an Internet chain letter, asking you to do every day a worst challenge, culminating in suicide. No documented case.

    The team notes that the supposed monster was represented as female..

    #HIVI

  31. First question: "why is it useful to study online virality, after all?"

    #goodQuestion #HIVI

    "Virality is a good excuse to study a lot of interesting things"

  32. First question: "why is it useful to study online virality, after all?"

    #goodQuestion #HIVI

    "Virality is a good excuse to study a lot of interesting things"

  33. First question: "why is it useful to study online virality, after all?"

    #goodQuestion #HIVI

    "Virality is a good excuse to study a lot of interesting things"

  34. First question: "why is it useful to study online virality, after all?"

    #goodQuestion #HIVI

    "Virality is a good excuse to study a lot of interesting things"

  35. First question: "why is it useful to study online virality, after all?"

    #goodQuestion #HIVI

    "Virality is a good excuse to study a lot of interesting things"

  36. Quentin Lobbé (School for Advanced Studies in the Social Sciences – CAMS/CNRS, EHESS)

    Nice visualisations.

    #HIVI

  37. Quentin Lobbé (School for Advanced Studies in the Social Sciences – CAMS/CNRS, EHESS)

    Nice visualisations.

    #HIVI

  38. Quentin Lobbé (School for Advanced Studies in the Social Sciences – CAMS/CNRS, EHESS)

    Nice visualisations.

    #HIVI

  39. Quentin Lobbé (School for Advanced Studies in the Social Sciences – CAMS/CNRS, EHESS)

    Nice visualisations.

    #HIVI

  40. Quentin Lobbé (School for Advanced Studies in the Social Sciences – CAMS/CNRS, EHESS)

    Nice visualisations.

    #HIVI

  41. Alexandre Faye (Bibliothèque nationale de France)

    The Buzz-f project: track virality on the BnF Web archives (experimental).

    #HIVI

  42. Alexandre Faye (Bibliothèque nationale de France)

    The Buzz-f project: track virality on the BnF Web archives (experimental).

    #HIVI

  43. Alexandre Faye (Bibliothèque nationale de France)

    The Buzz-f project: track virality on the BnF Web archives (experimental).

    #HIVI

  44. Alexandre Faye (Bibliothèque nationale de France)

    The Buzz-f project: track virality on the BnF Web archives (experimental).

    #HIVI

  45. Alexandre Faye (Bibliothèque nationale de France)

    The Buzz-f project: track virality on the BnF Web archives (experimental).

    #HIVI

  46. Ben Els (Bibliothèque nationale du Luxembourg) about the Luxembourg Web Archive, which archives all the luxembourgish Web sites. (All the sites under .lu and a few others.)

    Plus extra collection for important events.

    They also have a special access to news sites with paywall like lequotidien.lu. (Harvest becomes more and more difficult, crawlers struggle with various barriers. For instance, crawling Facebook for pages of election candidates is hard.)

    #HIVI

  47. Ben Els (Bibliothèque nationale du Luxembourg) about the Luxembourg Web Archive, which archives all the luxembourgish Web sites. (All the sites under .lu and a few others.)

    Plus extra collection for important events.

    They also have a special access to news sites with paywall like lequotidien.lu. (Harvest becomes more and more difficult, crawlers struggle with various barriers. For instance, crawling Facebook for pages of election candidates is hard.)

    #HIVI

  48. Ben Els (Bibliothèque nationale du Luxembourg) about the Luxembourg Web Archive, which archives all the luxembourgish Web sites. (All the sites under .lu and a few others.)

    Plus extra collection for important events.

    They also have a special access to news sites with paywall like lequotidien.lu. (Harvest becomes more and more difficult, crawlers struggle with various barriers. For instance, crawling Facebook for pages of election candidates is hard.)

    #HIVI

  49. Ben Els (Bibliothèque nationale du Luxembourg) about the Luxembourg Web Archive, which archives all the luxembourgish Web sites. (All the sites under .lu and a few others.)

    Plus extra collection for important events.

    They also have a special access to news sites with paywall like lequotidien.lu. (Harvest becomes more and more difficult, crawlers struggle with various barriers. For instance, crawling Facebook for pages of election candidates is hard.)

    #HIVI

  50. Ben Els (Bibliothèque nationale du Luxembourg) about the Luxembourg Web Archive, which archives all the luxembourgish Web sites. (All the sites under .lu and a few others.)

    Plus extra collection for important events.

    They also have a special access to news sites with paywall like lequotidien.lu. (Harvest becomes more and more difficult, crawlers struggle with various barriers. For instance, crawling Facebook for pages of election candidates is hard.)

    #HIVI

  51. Roundtable on methods and archives at #HIVI.

    Fred Pailler starts: how do you study online virality? Which sources? Internet Archive, scientific datasets, commercial platforms (APIs less and less open to researchers), Wikipedia keeps track of some memes, etc

  52. Roundtable on methods and archives at #HIVI.

    Fred Pailler starts: how do you study online virality? Which sources? Internet Archive, scientific datasets, commercial platforms (APIs less and less open to researchers), Wikipedia keeps track of some memes, etc

  53. Roundtable on methods and archives at #HIVI.

    Fred Pailler starts: how do you study online virality? Which sources? Internet Archive, scientific datasets, commercial platforms (APIs less and less open to researchers), Wikipedia keeps track of some memes, etc

  54. Roundtable on methods and archives at #HIVI.

    Fred Pailler starts: how do you study online virality? Which sources? Internet Archive, scientific datasets, commercial platforms (APIs less and less open to researchers), Wikipedia keeps track of some memes, etc

  55. Roundtable on methods and archives at #HIVI.

    Fred Pailler starts: how do you study online virality? Which sources? Internet Archive, scientific datasets, commercial platforms (APIs less and less open to researchers), Wikipedia keeps track of some memes, etc