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A Complete Psychological Analysis of Trump's Support | Psychology Today
Whether we want to or not, we must try to understand the Donald Trump phenomenon, as it has completely swept the nation and also fiercely divided it. What is most baffling about it all is Trump’s apparent political invincibility. via Pocket
IFTTT  Pocket  bias  cognitive  memetics  psychology  trump 
13 days ago by ChristopherA
YouTube -- Paul Joseph Watson: PANIC Over Clown World Meme
'Are clowns really racist, or did the media fall for a 4chan troll yet again?'
threatnarrative  memetics  idiocracy 
april 2019 by adamcrowe
How Fiji Water Became the Most Memed H20 on Earth - MEL Magazine
"Fiji has long spoken to the web’s indie creatives, becoming a piece of their visual headspace. You can find it on T-shirts, phone cases, hats and onesies. I myself own a Fiji ashtray."
memetics  zeitgeist  capitalism 
january 2019 by jbushnell
Ribbonfarm -- The Digital Maginot Line by Renee DiResta
'...why execute a lengthy, costly, complex attack on the power grid when there is relatively no cost, in terms of dollars as well as consequences, to attack a society’s ability to operate with a shared epistemology? -- ... This shift from targeting infrastructure to targeting the minds of civilians was predictable. Theorists like Edward Bernays, Hannah Arendt, and Marshall McLuhan saw it coming decades ago. As early as 1970, McLuhan wrote, in Culture is our Business, “World War III is a guerrilla information war with no division between military and civilian participation.” -- ... AI-generated audio and video deepfakes will erode trust in what we see with our own eyes, leaving us vulnerable both to faked content and to the discrediting of the actual truth by insinuation. Authenticity debates will commandeer media cycles, pushing us into an infinite loop of perpetually investigating basic facts. Chronic skepticism and the cognitive DDoS will increase polarization, leading to a consolidation of trust in distinct sets of right and left-wing authority figures – thought oligarchs speaking to entirely separate groups. -- We know this is coming, and yet we’re doing very little to get ahead of it. No one is responsible for getting ahead of it.'
internet  trolling  griefing  puppetry  memetics  kipple  flood  discourse  war 
december 2018 by adamcrowe
Tracing a Meme From the Internet’s Fringe to a Republican Slogan
Since President Trump’s election, his loyalists online have provided him with a steady stream of provocative posts and shareable memes, often filtered up from platforms like Reddit through media channels like Fox News. In return, Mr. Trump has championed many of their messages as his own, amplifying them back to his larger base.

This feedback loop is how #JobsNotMobs came to be. In less than two weeks, the three-word phrase expanded from corners of the right-wing internet onto some of the most prominent political stages in the country, days before the midterm elections.

Memetics  DGNI  nct  ncpin 
november 2018 by walt74
Jordan Peterson vs Susan Blackmore • Do we need God to make sense of life?
„Jordan B Peterson debates the psychology of religious belief with atheist academic Susan Blackmore in the first episode of The Big Conversation.“
ncpin  ncv  Lectures  JordanPeterson  Memetics  Religion  Philosophy 
november 2018 by walt74
The NPC meme went viral when the media gave it oxygen - The Verge
Julia Alexander: "Reporting on hyper-niche memes, even when they’re attached to more newsworthy events, inevitably carries a cost in terms of amplification. To report necessarily means giving new symbols to wider audiences, which gives bad actors more power in a self-proclaimed fight against censorship. The paradox reporters are often faced with is finding a responsible way to report on harmful memes spreading without amplifying hate."
memetics  hate_groups  2018_mixbook_contender  news  politics 
october 2018 by jbushnell
Der Wert der Worte – Wie digitale Methoden helfen, Kommunikations- und Wirtschaftswissenschaft zu verknüpfen
3 Konzeptionelle Verbindung von Narrativ und Frame

Auf die Bedeutung von „Stories“ für die Finanzmarktentwicklung weist bereits Shil-ler (2000) b ei seiner Beschreibung der Treiber für den „irrationalen Überschwang“während des Internet-Hypes der späten 1990er Jahre hin. Akerlof und Shiller (2009,2015) erweitern die Perspektive und behaupten, dass weite Bereiche des Wirtschaftsgeschehens, darunter auch vorherrschende wirtschaftspolitische Vorstellungen, von„Stories“ bestimmt werden. Akerlof und Snower (2016, S. 2–3) sehen sieben Funktionen von gesellschaftlichen Narrativen, nämlich das Verstehen der gesellschaftlichen Umgebung, die Bündelung der kollektiven Aufmerksamkeit, die Vorhersage von Ereignissen, das Motivieren von Handlungen, das Definieren von sozialen Beziehungen, das Herausstellen von Machtpositionen sowie die Formulierung undStabilisierung von gesellschaftlichen Normen.

Um die Verbreitung von Narrativen zu modellieren, schlägt Shiller (2017) als Strategie vor, epidemiologische Modelle heranzuziehen. Danach breiten sich gesellschaftliche Erzählungen aus wie Seuchen;es gibt Inkubationszeiten und Immunisierungen. KommunikationswissenschaftlicheAnsätze finden in diesem Zusammenhang keinerlei Erwähnung; Mediensystemen inhärente Eigenrationalitäten bleiben unbeachtet.

Wie eingangs erwähnt, ist der Narrativ-Begriff in der Ökonomik populär; eini-ge Autoren messen ihm eine fundamentale Bedeutung bei. Doch es bleibt häufig unklar, was genau unter einem Narrativ zu verstehen sein soll. Auch in der Kommunikationswissenschaft ist der Narrativ-Begriff präsent;1es wäre jedoch überzogen,von einem „narrative turn“ wie in anderen Disziplin en (vgl. Czarniawska 2004)zu sprechen. Deutlich populärer ist der verwandte Begriff des Frames, der seine Verbreitung sicherlich auch der leichteren Operationalisierbarkeit durch eindeutige Definitionen verdankt. Hervorgehoben wird immer wieder die temporale Qualitätdes Narrativs, das aktuelle mit vergangenen Ereignissen sowie mit dem kollekti-ven Gedächtnis einer Gesellschaft verbindet (vgl. Tenenboim-Weinblatt und Neiger2015). Anknüpfend an diesen Gedanken schlagen Tenenboim-Weinblatt et al. (2016)vor, Narrative vom Frame-Begriff ausgehend zu operationalisieren. Sie sehen dabei zwei elementare Unterscheidungsmerkmale: Zum einen seien Frames enger gefasst als Narrative (Tenenboim-Weinblatt et al. 2016, S. 152); ein Narrativ könne eine größere Bandbreite von Stimmen, Ereignissen und Perspektiven beinhalten. Zweitens verfügten Narrative über „temporal qualities“, die dem Frame-Konzept fehlten (Tenenboim-Weinblatt et al. 2016, S. 153).

Während Narrative diskursive Repräsentationen von Ereignissequenzen darstellten, funktioniere der einzelne Frame nur bezogen auf eine beschränkte Zeitspanne. In den Frame-Bestandteilen nach Entman(1993) sei zwar ein gewisser Zeitbezug erkennbar – die Frage nach der Verantwortlichkeit für ein Problem ist rückwärtsgewandt, die nach Lösungsvorschlägen blickt nach vorne –, aber der Bezug zu einem Ereignis sei dennoch zentral. Ähnlich nennen McComas und Shanahan (1999, S. 37) als wichtigsten Unterschied zwischen Frames und Narrativen, dass Letztere „use a specific temporal order of events to construct meanings“. Wyss (2010, S. 11) weist darauf hin, dass Narrative, anders als Frames, archetypische Rollenträger beinhalten könnten. Tenenboim-Weinblatt et al.(2016, S. 153) schlagen deshalb vor, Narrative als „higher discursive constructs“zu definieren, die Frames beinhalten. Somit verbinden Narrative einzelne Frames in einer Abfolge von Ereignissen und weisen dabei Akteuren spezifische Rollen zu.
ncp  ncpin  Papers  Language  Memetics  DGNI 
october 2018 by walt74
Evolutionary Systems. A Manifesto
After roughly 35 years of development in the theories of self-organization and related variants (chaos, self-organized criticality, and so forth), it is somewhat of a surprise that physics proper has not yet sufficiently found its entry into the ongoing quest for a precise concept of information. [...]

ncp  ncpin  Papers  Memetics  DGNI 
october 2018 by walt74
GLOBAL BRAIN SINGULARITY: University history and future evolution

In this presentation I attempt to present some of the core ideas from the first three sections of my PhD Thesis "Global Brain Singularity: Universal History, Future Evolution and Humanity's Dialectical Horizon". This presentation was hosted live at the Bertalanffy Center for Study of Systems Science (BCSSS) on September 25 2018 with Director Stefan Blachfellner.

In his paper, he talks about a "distributed singularity". Dig the Oxymoron.

Paper: Global Brain: Foundations of a Distributed Singularity

ABSTRACT: Global Brain is a concept used to describe and understand the distributed and self-organizing intelligence currently emerging from all people and information-communication technologies (ICT) connected via the Internet. This network in its future form could be more intelligent and coherent than the current structure of the Internet with the capability to coordinate all necessary functional operations of human civilization. Such a system would represent a qualitatively new level of complexity and organization which would allow humans to solve planetary problems that cannot be solved by our highest contemporary controls. Thus, in a Global Brain metasystem the human possibility space would allow levels of freedom and opportunity which have never existed in evolutionary history.
ncpin  ncv  Lectures  DGNI  Memetics  HiveMind 
october 2018 by walt74
A Physics of Ideas: Measuring The Physical Properties of Memes
Gute Ausarbeitung einer „Ideenphysik“, also Memetik. Die meisten der hier aufgelisteten Eigenschaften sind explizit oder auf Umwegen bereits im gegenwärtigen Internet implementiert, als Analytics- und Sharing-Tools oder Werkzeuge für die interne Weiterverarbeitung von Daten bei Facebook et al. Man vergleiche diesen Satz hier zB mit FBs algorithmisch sortierten Feed: „We can then apply the above measurements to entire corpora (collections of documents). This enables us to empirically rank the ideas occurring in the corpus in any interval of time.“ Which is exactly what FB is doing.

Aus deren Zahlen könnte man sicher metaphysische Eigenschaften von einzelnen Ideen und Micro-Memes berechnen, deren Gültigkeit im Internet überprüfbar sind. Zum ursprünglichen Zeitpunkt dieses Artikels (2004, mit Updates 2010) war die Informationsdichte bei weitem nicht so hoch und der emotionale Affekt spielte im Gegensatz zu heute eine untergeordnete Rolle.

Here are a set of basic measurements of the physical properties of memes and documents:

(Author’s Note, February 28, 2010: My latest thinking on this topic has evolved considerably from when this article was originally written in 2005. Instead of viewing memes as classical particles, I now think it is probably more accurate and useful to model them as physical waves or fields. At any given location (a media outlet, or a geographic place, or a person or document) every meme can be represented as a vector at any given time. In any case, regardless of the particular physical model we choose to map to memetics, the key point here is that it should be possible to make such a mapping from physics to memetics. This is a testable hypothesis. For example, select a certain mapping and generate some measurements about the higher order dynamics of memes, and then see if we can make testable predictions from those. Through such a process it should be possible to experimentally test and verify whatever mapping we choose, to find mappings that are most useful and accurate. Once we choose a mapping from physics to memetics that works, it could be an extraordinarily powerful tool for making sense of what is going on in the world, and particularly on the Web. I leave it to the physicists among us to come up the correct model, mappings, and experiments. In addition, since the original date of publication, social media has become an enormous playing field for memes and particularly rich source of data for measuring and mapping meme dynamics. In addition to documents we may also think of people and their lifestreams as sources of memetic data for measuring memes. Below is the original proposed mapping — which primarily was a classical physical model, focused on documents only.)

– Absolute meme mass = how “large” the meme is. There are various ways to come up with a measure of mass for memes and I don’t claim to have come up with the only, or even the best, way to do so. This is still a subject for further investigation. However, to begin, one approach at least is to interpret the mass as the total number of times a meme is mentioned in the corpus since the beginning of time to the present. However, it has been pointed out that this interpretation will cause the mass to increase over time. Still, it may be a useful interpretation, and in this paper I will use it provisionally. Another and perhaps better possibility, is to quantify the relative importance of particular memes in advance (for example by having analysts rate the terms that are most important to them) and to use these values as the mass of those memes. Note: When computing meme mass, we can choose to count repeat mentions or ignore them — doing so has slightly different effects on the algorithm. We can also, if we wish, get more fancy and look at clusters of memes (via semantic network indexing or entity extraction, for example) that relate to the same concepts in order to compute “concept-cluster momenta” but that is not required.

– Absolute meme velocity = how fast the meme is moving in the corpus in the present time interval = The rate of occurrences (or “mentions”) of the meme per unit time (minutes, hours, days, etc.) in a given time interval.

– Absolute meme momentum = the force or importance of the meme in the corpus = the meme’s absolute mass x the meme’s absolute velocity

– Relative meme mass = the mass of a meme within a subset of documents or data in the corpus representing some set of interests. (Note: we call a subset of mutually co-relevant documents a “reference frame” or a “context.”) such as a set of interests, a particular period in time, etc. (rather than in the entire corpus).

– Relative meme velocity = the velocity of a meme within a reference frame.

– Relative meme momentum = the relative meme mass X the relative meme velocity.

On the basis of these we can then compute derivatives such as:

– Absolute meme acceleration = how the absolute meme velocity is changing in the entire corpus = The change in absolute velocity per unit time of the meme in the corpus.

– Relative meme acceleration = the change in relative velocity of a meme.

– Absolute meme impulse = the change in importance per unit time = the change in a meme’s absolute momentum.

– Relative meme impulse = the change of a meme’s relative momentum.

Next, we use the above concepts to look at sets of memes, for example documents:

– Absolute document momentum = the force or importance of a document in the entire corpus = the sum of the absolute momenta of each meme that occurs in the document. (Note: we may choose to count or ignore repeat occurrences of an article in different locations or at different times — this has different effects).

– Relative document momentum = the force or importance of a document within a reference frame = the sum of the relative meme momenta in the document. This is a more contextually sensitive measure of document momentum — it couples momentum more tightly with a context, such as a particular query or time interval, or demographic segment. (Note: we may choose to count or ignore repeat occurrences of an article in different locations or at different times — this has different effects).

– Hybrid document momentum = a measure of momentum that combines both relative and absolute measurements = either relative mass X absolute velocity or absolute mass X relative velocity.
nct  ncpin  DGNI  Memetics 
october 2018 by walt74
The failed Slender Man movie was a nail in the coffin of a dying fandom - The Verge
"If you want to study the life cycle of a meme from a random internet post to a fully realized, culturally known concept — like watching an urban legend that might once have spread through generations of word of mouth, now punched into hyperdrive — you can’t get much better than Slender Man."
narrative  horror  memetics  internet  fandom 
september 2018 by jbushnell
AI as Funny as Humans for Generating Meme Captions | NVIDIA Blog
"Lawrence Peirson [...] and classmate E. Meltem Tolunay came up with a neural network that captions memes for a class project, now published in a whitepaper aptly titled 'Dank Learning.'"
ai  memetics  humor 
july 2018 by jbushnell
We Are All Public Figures Now
Ella Dawson über eine der creepiest Viral-Storys 2018:

Gibts auch als Sort-Of-Kurzversion in <a href="">diesem Twitter-Thread</a>: „This is being shared around like it’s cute, but in reality it’s the kind of invasive nightmare that makes you want to become a hermit.“
The woman on the plane is unaware that the woman sitting in the row behind her is watching and recording her every move. Rosey Blair, the stranger she helped sit beside her boyfriend, is projecting a story on top of her interactions that soon takes the internet by storm. Her detailed breakdown of their conversation and body language racks up hundreds of thousands of likes and retweets. Blair herself begins to accumulate thousands of new Twitter followers.

Not long after the plane touches down in Texas, the hordes of strangers following Blair’s tweets are eager to discover the identities of the personal trainers from Dallas. A hunt begins to find her Instagram account. Later the man, her seatmate Euan Holden, participates in the growing media circus because he also gains a ton of twitter followers, or because it helps his career, or because it’s fun, or because it’s just too late to go back to the anonymity of before. […]

the media industry wants to broaden our definition of the public so that it will be fair game for discussion and content creation, meaning they can create more articles and videos, meaning they can sell more ads. The tech industry wants everything to be public because coding for privacy is difficult, and because our data, if public, is something they can sell. Our policy makers have failed to define what’s public in this digital age because, well, they don’t understand it and wouldn’t know where to begin. And also, because lobbyists don’t want them to.

I think a lot about us, the normal ones, the average citizens. The idea that our privacy is in jeopardy is a relatively new concept, born from the 2016 election and the Cambridge Analytica scandal. There’s growing awareness of just how much of our private lives we’ve ceded to Facebook. But even now, most of us feel safe online, because what do we have to hide? Who would care what we have to say? Who is watching us? What’s the worst that could happen? […]

A woman boarded a plane in New York and stepped off that plane in Dallas. She chatted with a stranger, showed him some family photos, brushed his elbow with her own. She wore a baseball cap over her face and followed him back on Instagram. At no point did she agree to participate in the story Rosey Blair was telling. After the fact, when the hunt began and the woman took no part in encouraging it the way Holden did, Blair tweeted a video in which she drawled, “We don’t have the gal’s permish yet, not yet y’all, but I’m sure you guys are sneaky, you guys might…”

Blair’s followers were sneaky. They did as they were told and immediately replied with screenshots of the woman’s Instagram account. They shared links.

When people called Blair out for this blatant invasion of privacy, she blocked them. Because she, apparently, could control her own boundaries. Later she tweeted about wanting a job at BuzzFeed.

I don’t know what the woman on the plane is thinking or feeling. I don’t know if she’s afraid or angry or mildly amused but inconvenienced. But I know how it feels to see strangers scrawling obscenities in a space you once considered safe, commenting alongside your friends and family members. I know the sour humiliation of knowing everyone in your life can see that strangers have written about you—your parents, your coworkers, your exes.

Even when the attention is positive, it is overwhelming and frightening. Your mind reels at the possibility of what they could find: your address, if your voting records are logged online; your cellphone number, if you accidentally included it on a form somewhere; your unflattering selfies at the beginning of your Facebook photo archive. There are hundreds of Facebook friend requests, press requests from journalists in your Instagram inbox, even people contacting your employer when they can’t reach you directly. This story you didn’t choose becomes the main story of your life. It replaces who you really are as the narrative someone else has written is tattooed onto your skin.

There is no opting-in, no consent form, no opportunity to take it all back. It feels like you are drowning as everyone on the beach applauds your swimming prowess. You are relevant, and that is the best thing you can be in this new world. What do you have to complain about? Why wouldn’t you want this?

What Blair did and continues to do as she stokes the flames of this story despite knowing this woman wants no part of it goes beyond intrusive. It is selfish, disrespectful harassment. The violation of this woman’s privacy is less important than Blair’s growing platform and ambition. It is not a romantic comedy for the digital age, it is an act of dehumanization. It is a taking of someone else’s identity and privacy for your own purposes. That this is happening online makes it more, not less serious—its impact is instant, and anyone can join in the fun.
nct  ncpin  Privacy  Memetics  Viral  DGNI 
july 2018 by walt74

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