nearly 300,000 others kept an eye on the YouTube channel of 29-year-old Millie Weaver, a former correspondent for the conspiracy theory website Infowars, who offered right-wing analysis to her followers in a live-stream that carried on for almost seven hours the day after the election.
p. 169 Marxism, humanism, and literature in the university
Marx was a student if economic and political forces who believed he was conducting scientific inquiries into social political and economic structures; yes his works, students complain, are not taught at all in the Brown economics and political science departments. Students committed to post modern ways of thinking discover conspiracy in this phenomenon, but it is more likely that the omission is owning to the fact that professional economists do not respect marks as an economist. Those who pursue the study of economics essay science do not consider Marxist economic theories sufficiently scientific, and on the basis of what Dusty a risk of done to the economics of the Soviet union in the peoples Republic of China, which claim to be Marxist states, who can blame the process for being skeptical?
A similar situation exists with regard to Freud. Just as marks is very little taught in political science or economic departments, sort throat is not crowded these days in Department of psychology or psychiatry, and for similar reasons. Though what Freud dead in his own time may have passed for science and though he may have considered himself a scientist, he is not a scientist at all by contemporary standards. If Marxist economics has not produced utopias in Marxist states, so, by the same token, Freudian techniques of analysis have not consistently demonstrated the power to cure the more serious ( or even the most trivial) psychological disorders.
p. 170 If Marxist economics is no longer perceived is a tool that can be used to help solve economic problems, and Freudian analytics techniques are no longer applicable in helping to cure patients with mental disorders, what residue of Marxism and Freudianism remains?
p. 171 though they find an inhospitable climate in the social sciences and in the heart sciences, Marks in Freud have been given a warm home in certain humanities departments committed to postmodern ways of perceiving the world. But they have not found a home there is scientists. They have found a home, rather, as profits, or perhaps more accurately, as gods. And those who espouse Marxian in Freudian views become the “true believers.”
what happens to Marxist and Freudian ideas when they lose their empirical grounding in their power to explain events in the physical world? Free-floating Marxist and Freudian ideas have been fused to established at least one of the foundations of post modernist literature theory and to promulgate an image of the human form it’s a robot controlled by “ideology.”
p. 172. Because ideology works most effectively through its unconscious hold on subjects, it resists being made conscious or explicit. And ideology structures ‘seeing’ in ‘feeling’ before it structures ‘thinking,’ and appears to have no historical or social specificity but to be simply the natural way of perceiving reality.
Other residues of do descientizied Marx and Freud are “the class struggle” in “sublimation.” But the class struggle is Marx conceived it never really took root in American culture.
Even know, empirical sociologists have difficulty in defining what constitutes “a class” in American culture, and in determining where one class ends and another begins.
It is well known that the vast majority of Americans define themselves as middle-class, which then makes it necessary for a sociologist interested in arriving it finally distinctions to divide the middle glass itself into upper, middle, and lower, and so on.
p. 173. Post modern Freudians are forced into similar absurdities. Freud based his theory of sublimation (neurosis-as-the-price-of-culture) on the very rigid Austro-German family, constituted by a strict, punishing, disciplinarian father, a submissive mother, and obedient son, and a subservient daughter. p. 174 Marks in Floyd analyzed Austro-German culture and thought they were analyzing the universe. For them Austro-German culture was universal culture, as it consequently becomes for believing Marxists and Freudians.
p. 179. And what are you, reader?
the humanities are in flux. Liberal democracy, on which the humanities real life for 16 ounce and which day in Torrance sustain, is under attack by ‘humanists”; literary criticism has nothing only become politicized, but politicized against the Vallas of liberal humanism.
p. 190. The Marxist-Gramscian thesis depends on a conspiracy theory according to which the “dominant classes” exert their influence over the “subordinate classes covered” the by means of educational, religious, and other institutions, and ‘ruling groups preempt the high ground of universal morality in truth.” Because the dominant classes dominate the oppressed classes in secrecy, by means of social institutions, de artist must respond to this dominance with symbolic representations.
The larger discussions, from what constitutes a nutritious diet to what actions will best further U.S. interests, require conversations between ordinary citizens and experts. But increasingly, citizens don’t want to have those conversations. Rather, they want to weigh in and have their opinions treated with deep respect and their preferences honored not on the strength of their arguments or on the evidence they present but based on their feelings, emotions, and whatever stray information they may have picked up here or there along the way.
Hofstadter argued that this overwhelming complexity produced feelings of helplessness and anger among a citizenry that knew itself to be increasingly at the mercy of more sophisticated elites. “
Credentialism can run amok, and guilds can use it cynically to generate revenue or protect their fiefdoms with unnecessary barriers to entry. But it can also reflect actual learning and professional competence, helping separate real experts from amateurs or charlatans.
Experts are often wrong, and the good ones among them are the first to admit it…. Yet these days, members of the public search for expert errors and revel in finding them—<b>not to improve understanding but rather to give themselves license to disregard all expert advice they don’t like.<b>
The convenience of the Internet is a tremendous boon, but mostly for people already trained in research and who have some idea what they’re looking for. It does little good, unfortunately, for a student or an untrained layperson who has never been taught how to judge the provenance of information or the reputability of a writer.
Libraries, or at least their reference and academic sections, once served as a kind of first cut through the noise of the marketplace. The Internet, however, is less a library than a giant repository where anyone can dump anything. In practice, this means that a search for information will rely on algorithms usually developed by for-profit companies using opaque criteria. Actual research is hard and often boring. It requires the ability to find authentic information, sort through it, analyze it, and apply it.
Government and expertise rely on each other, especially in a democracy. The technological and economic progress that ensures the well-being of a population requires a division of labor, which in turn leads to the creation of professions. Professionalism encourages experts to do their best to serve their clients, respect their own knowledge boundaries, and demand that their boundaries be respected by others, as part of an overall service to the ultimate client: society itself.
Dictatorships, too, demand this same service of experts, but they extract it by threat and direct its use by command. This is why dictatorships are actually less efficient and less productive than democracies (despite some popular stereotypes to the contrary). In a democracy, the expert’s service to the public is part of the social contract.
Too few citizens today understand democracy to mean a condition of political equality in which all get the franchise and are equal in the eyes of the law. Rather, they think of it as a state of actual equality, in which every opinion is as good as any other, regardless of the logic or evidentiary base behind it.
#DunningKrugerEffect #metacognition #democracy #science #academy #fakenews #conspiracytheories #politics #idiocracy #InformationTechnology #Internet
Released on Friday, the Zao app went viral as Chinese users seized on the chance to see themselves act out scenes from well-known movies using deepfake technology, which has already prompted concerns elsewhere over potential misuse.
As of Monday afternoon it remained the top free download in China, according to the app market data provider App Annie.
Concerns over deepfakes have grown since the 2016 US election campaign, which saw wide use of online misinformation, according to US investigations.
In June, Facebook’s chief executive, Mark Zuckerberg, said the social network was struggling to find ways to deal with deepfake videos, saying they may constitute “a completely different category” of misinformation than anything faced before.
https://sched.co/JAqk
the type of data: wikipedia. the dangers of learning from wikipedia. how individuals can organize mitigate some of these dangers. wikidata, algorithms.
IBM Watson is using wikipedia by algorythms making sense, AI system
youtube videos debunked of conspiracy theories by using wikipedia.
semantic relatedness, Word2Vec
how does algorithms work: large body of unstructured text. picks specific words
lots of AI learns about the world from wikipedia. the neutral point of view policy. WIkipedia asks editors present as proportionally as possible. Wikipedia biases: 1. gender bias (only 20-30 % are women).
conceptnet. debias along different demographic dimensions.
citations analysis gives also an idea about biases. localness of sources cited in spatial articles. structural biases.
geolocation on Twitter by County. predicting the people living in urban areas. FB wants to push more local news.
danger (biases) #3. wikipedia search results vs wkipedia knowledge panel.
collective action against tech: Reddit, boycott for FB and Instagram.
data labor: what the primary resources this companies have. posts, images, reviews etc.
boycott, data strike (data not being available for algorithms in the future). GDPR in EU – all historical data is like the CA Consumer Privacy Act. One can do data strike without data boycott. general vs homogeneous (group with shared identity) boycott.
the wikipedia SPAM policy is obstructing new editors and that hit communities such as women.
how to access at different levels. methods and methodological concerns. ethical concerns, legal concerns,
tweetdeck for advanced Twitter searches. quoting, likes is relevant, but not enough, sometimes screenshot
engagement option
social listening platforms: crimson hexagon, parsely, sysomos – not yet academic platforms, tools to setup queries and visualization, but difficult to algorythm, the data samples etc. open sources tools (Urbana, Social Media microscope: SMILE (social media intelligence and learning environment) to collect data from twitter, reddit and within the platform they can query Twitter. create trend analysis, sentiment analysis, Voxgov (subscription service: analyzing political social media)
graduate level and faculty research: accessing SM large scale data web scraping & APIs Twitter APIs. Jason script, Python etc. Gnip Firehose API ($) ; Web SCraper Chrome plugin (easy tool, Pyhon and R created); Twint (Twitter scraper)
Facepager (open source) if not Python or R coder. structure and download the data sets.
TAGS archiving google sheets, uses twitter API. anything older 7 days not avaialble, so harvest every week.
social feed manager (GWUniversity) – Justin Litman with Stanford. Install on server but allows much more.
legal concerns: copyright (public info, but not beyond copyrighted). fair use argument is strong, but cannot publish the data. can analyize under fair use. contracts supercede copyright (terms of service/use) licensed data through library.
methods: sampling concerns tufekci, 2014 questions for sm. SM data is a good set for SM, but other fields? not according to her. hashtag studies: self selection bias. twitter as a model organism: over-represnted data in academic studies.
methodological concerns: scope of access – lack of historical data. mechanics of platform and contenxt: retweets are not necessarily endorsements.
ethical concerns. public info – IRB no informed consent. the right to be forgotten. anonymized data is often still traceable.
table discussion: digital humanities, journalism interested, but too narrow. tools are still difficult to find an operate. context of the visuals. how to spread around variety of majors and classes. controversial events more likely to be deleted.
takedowns, lies and corrosion: what is a librarian to do: trolls, takedown,
development kit circulation. familiarity with the Oculus Rift resulted in lesser reservation. Downturn also.
An experience station. clean up free apps.
question: spherical video, video 360.
safety issues: policies? instructional perspective: curating,WI people: user testing. touch controllers more intuitive then xbox controller. Retail Oculus Rift
app Scatchfab. 3modelviewer. obj or sdl file. Medium, Tiltbrush.
College of Liberal Arts at the U has their VR, 3D print set up.
Penn State (Paul, librarian, kiniseology, anatomy programs), Information Science and Technology. immersive experiences lab for video 360.
CALIPHA part of it is xrlibraries. libraries equal education. content provider LifeLiqe STEM library of AR and VR objects. https://www.lifeliqe.com/
libraians, IT staff, IDs. help faculty with course design, primarily online, master courses. Concordia is GROWING, mostly because of online students.
solve issues (putting down fires, such as “gradebook” on BB). Librarians : research and resources experts. Librarians helping with LMS. Broadening definition of Library as support hub.
In a recent article for The Verge titled “The Trauma Floor: The secret lives of Facebook moderators in America,” a dozen current and former employees of one of the company’s contractors, Cognizant, talked to Newton about the mental health costs of spending hour after hour monitoring graphic content.
Perhaps the most surprising find from his investigation, the reporter said, was how the majority of the employees he talked to started to believe some of the conspiracy theories they reviewed.
In Media Manipulation and Disinformation Online, Marwick and Lewis (2017) of the Data & Society Research Institute described the agents of media manipulation, their modus operandi, motivators, and how they’ve taken advantage of the vulnerability of online media. The researchers described the manipulators as right-wing extremists (RWE), also known as alt-right, who run the gamut from sexists (including male sexual conquest communities) to white nationalists to anti-immigration activists and even those who rebuke RWE identification but whose actions confer such classification. These manipulators rally behind a shared belief on online forums, blogs, podcasts, and social media through pranks or ruinous trolling anonymity, usurping participatory culture methods (networking, humor, mentorship) for harassment, and competitive cyber brigades that earn status by escalating bullying such as the sharing of a target’s private information.
Marwick and Lewis reported on how RWE groups have taken advantage of certain media tactics to gain viewers’ attention such as novelty and sensationalism, as well as their interactions with the public via social media, to manipulate it for their agenda. For instance, YouTube provides any individual with a portal and potential revenue to contribute to the media ecosystem. The researchers shared the example of the use of YouTube by conspiracy theorists, which can be used as fodder for extremist networks as conspiracies generally focus on loss of control of important ideals, health, and safety.
One tactic they’re using is to package their hate in a way that appeals to millennials. They use attention hacking to increase their status such as hate speech, which is later recanted as trickster trolling all the while gaining the media’s attention for further propagation
SHARED MODUS OPERANDI
Marwick and Lewis reported the following shared tactics various RWE groups use for online exploits:
Ambiguity of persona or ideology,
Baiting a single or community target’s emotions,
Bots for amplification of propaganda that appears legitimately from a real person,
“…Embeddedness in Internet culture… (p. 28),”
Exploitation of young male rebelliousness,
Hate speech and offensive language (under the guise of First Amendment protections),
Irony to cloak ideology and/or skewer intended targets,
Memes for stickiness of propaganda,
Mentorship in argumentation, marketing strategies, and subversive literature in their communities of interest,
Networked and agile groups,
“…Permanent warfare… (p.12)” call to action,
Pseudo scholarship to deceive readers,
“…Quasi moral arguments… (p. 7)”
Shocking images for filtering network membership,
“Trading stories up the chain… (p. 38)” from low-level news outlets to mainstream, and
Trolling others with asocial behavior.
teenagers in Veles, Macedonia who profited around 16K dollars per month via Google’s AdSense from Facebook post engagements
a long history of mistrust with mainstream media
If you’re a college instructor of communications or teach digital literacy as a librarian, see the corresponding syllabus for this article. It provides discussion questions and assignments for teaching students about media manipulation. To teach your students how to combat fake news online, see my post on Navigating Post-Truth Societies: Strategies, Resources, and Technologies.
Tom Dickinson describes four different types of distributed ‘fake news’.
‘Fake news’ is lazy language. Be specific. Do you mean: A) Propaganda B) Disinformation C) Conspiracy theory D) Clickbait
The RAND Corporation, a US think-tank with strong ties to the military industrial complex, recently looked at the influence of the Russian Propaganda Model and how best to deal with it.
Three factors have been shown to increase the (limited) effectiveness of retractions and refutations: (1) warnings at the time of initial exposure to misinformation, (2) repetition of the retraction or refutation, and (3) corrections that provide an alternative story to help fill the resulting gap in understanding when false ‘facts’ are removed.
Critical thinking requires us to constantly question assumptions, especially our own. To develop these skills, questioning must be encouraged. This runs counter to most schooling and training practices. When do students or employees get to question underlying assumptions of their institutions? If they cannot do this, how can we expect them to challenge various and pervasive types of ‘fake news’?