YouTube2Text

hailey mooney 02 — Transcript

by Michigan Online · 1,000 words · 185 segments · language en · Watch on YouTube

Full transcript

  1. 0:00disinformation is a term that talks
  2. 0:03about
  3. 0:04intentionally false information that's
  4. 0:07being spread
  5. 0:08so this is a little bit different than
  6. 0:10say misinformation
  7. 0:12which is unintentionally false
  8. 0:14information
  9. 0:15so when you're talking about myths
  10. 0:16versus dis information
  11. 0:19you're talking about the intentionality
  12. 0:21of the author
  13. 0:22are they going to you know want to be
  14. 0:24spreading this false information or when
  15. 0:26they find out
  16. 0:27that the information was false do they
  17. 0:29make a good faith effort to correct it
  18. 0:33miss and disinformation are really part
  19. 0:35of a larger
  20. 0:36ecosystem of junk
  21. 0:39information information pollution what
  22. 0:41would generally lump
  23. 0:43under the heading these days of being
  24. 0:45called fake news
  25. 0:47so there are actually lots of different
  26. 0:49topologies and definitions of fake news
  27. 0:52out there
  28. 0:53i'll share with you a little bit of my
  29. 0:54take on it
  30. 0:56now if you put aside um satire
  31. 1:00um as a type of fake news which would be
  32. 1:03like you know
  33. 1:04the daily show or something like that or
  34. 1:06weekend update on snl
  35. 1:09um fake news definitions generally fall
  36. 1:12into sort of
  37. 1:13two categories which would be a
  38. 1:15problematic content
  39. 1:17or critique of mainstream media and i
  40. 1:20like to think of this as fake news being
  41. 1:22a deception
  42. 1:24that is intended to influence for
  43. 1:26someone else's game
  44. 1:28um so this deception could be through
  45. 1:30the false or misleading content an
  46. 1:32article in itself or it can also be
  47. 1:34a rhetorical device that someone uses
  48. 1:37your fake news um
  49. 1:40and there's a gain there um often it's a
  50. 1:43financial gain and it might also be
  51. 1:45paired with a socio-political
  52. 1:47gain that someone's looking to have as
  53. 1:49well so this would be
  54. 1:51um generally you know thinking of
  55. 1:53wanting you to vote for a particular
  56. 1:55candidate
  57. 1:56or um subscribe to a particular ideology
  58. 2:01but it could also be at a smaller level
  59. 2:03somebody just wants to
  60. 2:06um you know get a laugh out of how
  61. 2:08gullible
  62. 2:09you are so i'm going to run through a
  63. 2:12few
  64. 2:13more specific examples of how
  65. 2:16fake news sort of shakes out what it can
  66. 2:18be
  67. 2:20so if you're looking at fake news as
  68. 2:22problematic content
  69. 2:24with intent to sell something or make
  70. 2:26money
  71. 2:27this is like your traditional snake oil
  72. 2:29salesman sort of thing
  73. 2:32in the 2016 election we saw this with um
  74. 2:36those fabulous news stories like pope
  75. 2:39endorses
  76. 2:40trump uh there were a number of of those
  77. 2:43types of stories
  78. 2:44pizzagate that kind of thing a lot of
  79. 2:47these were really about exploiting
  80. 2:50the business model of the internet
  81. 2:53by which page views gets you advertising
  82. 2:57dollars so they just wanted you to come
  83. 2:58to their site get as many hits as they
  84. 3:00could
  85. 3:01so they could get as much advertising
  86. 3:03revenue as they could it was really
  87. 3:04about making money for a lot of people
  88. 3:06who put out those types of stories
  89. 3:10now another type of fake news is
  90. 3:12problematic content
  91. 3:13would be content that's sponsored and
  92. 3:15orchestrated by an undisclosed
  93. 3:17entity appearing in an otherwise
  94. 3:20legitimate news source
  95. 3:22um so one example of this
  96. 3:25again back at the 2016 election that
  97. 3:27sort of fits into this category
  98. 3:30would be the like the russian propaganda
  99. 3:33that we saw on social media
  100. 3:35um where they would like pose as some
  101. 3:38types of grassroots organization and try
  102. 3:40and get you to come to a rally
  103. 3:42and then also then have the other side
  104. 3:45of the
  105. 3:46um of the issue so they're trying to get
  106. 3:48people to come out and and just be
  107. 3:50um you know polarized they're trying to
  108. 3:52promote that polarization
  109. 3:54um so that's sort of like a turf grass
  110. 3:56sort of movement thing
  111. 3:58um you also see this in the more
  112. 4:00mainstream media and this gets into fake
  113. 4:02news says critique of mainstream media
  114. 4:05when a news organization might run a
  115. 4:07press release
  116. 4:09as straight news without disclosing
  117. 4:12the source of that information um that
  118. 4:14it actually came from
  119. 4:16a a lobbying group or a corporation or
  120. 4:20something that they pulled that right
  121. 4:22from the press release
  122. 4:24so fake news then as a rhetorical device
  123. 4:27would be a creation of narratives that
  124. 4:29are designed to delegitimize and
  125. 4:31annihilate opposition this is really
  126. 4:33how we see trump use the term fake news
  127. 4:36um
  128. 4:37when he you know tells people that
  129. 4:40they're fake news or that that
  130. 4:41organization
  131. 4:42is just fake news a more historical
  132. 4:45example would be with mccarthyism
  133. 4:47where the term communism became
  134. 4:49synonymous with anti-americanism
  135. 4:53so fake news can also be talking about
  136. 4:55very ideological or partisan news
  137. 4:58sources promoting
  138. 5:00opinions over facts this might be
  139. 5:02something like breitbart or alex jones
  140. 5:05or even something like huffington post
  141. 5:06on the left
  142. 5:07but you also get here uh into fake news
  143. 5:10as critique of mainstream media
  144. 5:13where you have critiques of fox news or
  145. 5:15msnbc
  146. 5:17that they're catering to a very specific
  147. 5:19ideological audience
  148. 5:21and this takes me then into the very
  149. 5:22general critique of mainstream media
  150. 5:26as fake news that they really rely on
  151. 5:29news reporting practices of selective
  152. 5:31representation and framing
  153. 5:33they reinforce elite narratives and
  154. 5:35power structures
  155. 5:37particularly through reliance for
  156. 5:38example on official sources
  157. 5:41um and keeping out more everyday voices
  158. 5:44this is the critique that we hear on
  159. 5:46both the right and the left
  160. 5:48although lately we tend to think of it
  161. 5:49as more critique from the right
  162. 5:52when we hear people decrying the liberal
  163. 5:54media
  164. 5:55but there's actually that strong
  165. 5:57tradition of critique on the left as
  166. 5:59well
  167. 6:00um for example if you look at edward
  168. 6:03herrmann and no more
  169. 6:04norma noam chomsky's a 1988 book on
  170. 6:07manufacturing consent
  171. 6:09and a recent update on that uh sort of
  172. 6:11idea came from
  173. 6:13matt tiabe with his 2019 book on hate
  174. 6:16inc
  175. 6:17which sort of marries uh the the
  176. 6:19critique of manufacturing consent
  177. 6:21uh with the shift that we've been seeing
  178. 6:23to the more
  179. 6:24partisan ideological news sources
  180. 6:28so big ecosystem of uh
  181. 6:31fake news junk information of which
  182. 6:34disinformation
  183. 6:35just one very specific type of
  184. 6:39patently false information that we have
  185. 6:41to look out for

About this transcript

This page contains the full transcript of hailey mooney 02 by Michigan Online, generated from the public captions YouTube serves with the video. The transcript has 1,000 words across 185 segments, with the original timestamps preserved so you can click any line to jump to that moment in the embedded player.

What you can do with it

Use the transcript to take notes, quote the speaker, build a study guide, generate a summary with ChatGPT or Claude via the YouTube Summary tool, or export it as a timed subtitle file with YouTube to SRT. You can also re-open it in the transcriber to translate the transcript into 100+ languages.

Free YouTube transcript tool

YouTube2Text is a free YouTube transcript generator — no signup, no daily limit. Paste any YouTube link and get the full transcript instantly, with timestamps, click-to-jump, translation to 100+ languages, AI prompts for ChatGPT, Claude, and Gemini, and exports to TXT, SRT, VTT, or Markdown.