“Social media” is a gigantic umbrella term that nobody can precisely define. Twitter, Reddit, Facebook, 4Chan, you name it. It doesn’t matter if it’s a worldwide platform or a tiny forum chat; if it connects users over the internet, it’s social media.
On sites like Twitter, users are separated into tiers of opinion authority based on followers and likes. Those that achieve the greatest opinion authority are recognized with the coveted blue checkmark. These blue checkmarks are a badge of authority, which causes an influencer’s recognition to continue growing exponentially.
This process has made some social media accounts so powerful that they now have the unique ability to influence bitcoin’s price with something as simple as a tweet. Her er nogle fremtrædende eksempler.
Given this dynamic, I aim to understand if social media data analytics, more professionally referred to as “social listening” or “emotional data intelligence,” can be used to intentionally and effectively influence the public sentiment of bitcoin.
Kan følelsesmæssige dataalgoritmer (EDA'er) kvantificere den nøjagtige indflydelse, som en berømthed som Elon Musk har over prisen på bitcoin?
For at opnå dette vil jeg anvende indsigt fra dyb forskning af emotionelle dataintelligens-virksomheder som Stockpulse, handlingsorienterede indsigtsvirksomheder som S2 Research og flere kollegiale undersøgelser vedrørende forholdet mellem indflydelse på sociale medier og bitcoin-prisvolatilitet.
Ultimately, this study aims to illustrate a new important framework for thinking of machine learning concepts like social listening and emotional data intelligence. I will also open a discussion challenging the ethics of new concepts like “emotional data algorithms” and “digital language processing” (also known as “sentiment analysis”), as cited by Stockpulse CEO Dr. Stefan Naan.
I sidste ende har nye teknologiske fænomener katapulteret studiet af social lytning til et kraftfuldt værktøj til at forudsige den offentlige mening og bitcoin-prisvolatilitet.
Vores digitale rollemodeller
I will be examining how “social listening,” celebrity influence and the advent of EDAs can all be used to predict and affect bitcoin price volatility. Before starting this research, my initial personal dogma leaned on the idea that social media is just unpredictable chaos. I thought, “Nobody can keep track of it all.” Like most people, I believed that nobody could control and manipulate social media.
Hvorfor bekymre sig om det? Højre?
De beviser, jeg fandt, beviste det modsatte. Hurtig udvikling inden for maskinlæring, dataindsamling på sociale medier og forudsigelige algoritmer har bevist, at kaos på sociale medier kan organiseres i handlingsorienteret indsigt.
It’s not uncommon for people to look to popular icons as sources of immense inspiration, treating them as our own personal digital role models.
This isn’t necessarily a bad thing. As with most things, it’s complicated. These social media figures guide us in ways that people in our real lives sometimes can’t. It’s fair to assume that they primarily give people well-intentioned advice. However, there are also a great many trusted influencers that have sold out their audiences to pump assets and grow their portfolios.
Du kan ikke tro alt, hvad du læser.
Hvad er social lytning?
Social listening is defined as “social media measurement and social media analytics; a way of computing popularity of a brand or company by extracting information from all social media channels, such as blogs, wikis, news sites, micro-blogs such as Twitter, social networking sites, video/photo sharing websites, forums, and message boards,” by Wikipedia.
Take the study of movie fandoms like “Star Wars” as a good example of powerful social listening. “Star Wars” has a notoriously passionate legion of fans. You’ve seen them; they are a mighty unit that is occasionally hostile and extremely influential. The opinion of that specific group of viewers is critical to the success of Disney movie producers and the longevity of their careers. The views of these fans can set the groundwork for a film’s long-term legacy. As such, predicting the behavior of fandoms is an increasingly sought-after commodity in the film industry.
Filmfandoms er blot et lille eksempel på, hvordan social lytning er blevet et studieområde af høj værdi. Efterhånden som nyere, mere forstyrrende teknologier som Bitcoin bliver mere og mere magtfulde, bliver de, der påvirker følelser omkring Bitcoin, også mere og mere magtfulde.
Hvordan påvirker social lytning Bitcoin-priser?
Social listening becomes exponentially more profound when you tie in its relationship to the world’s largest financial revolution, Bitcoin.
Ifølge Naan skriver for Nasdaq, “By monitoring and analyzing data from social media sources — especially concerning communication about stocks — it’s now possible to connect the dots between sentiment and market movements.”
Selv den største børs i verden har spændt ørene op til den vægt, som data på sociale medier har på markedspriserne.
Resultaterne tyder på, at vores kvantitative forståelse af, hvordan influencers kan bruge følelsesmæssige data til at påvirke offentlighedens opfattelse af aktiver som bitcoin, er meget mere avanceret, end de fleste er klar over. Overfladeniveaukorrelationerne er ret tydelige efter at have kompileret eksempler på kendis-/influencer-tweets, der forårsager markedsudsving. Imidlertid er den hyperspecificerede karakter af disse datadrevne indsigter, og hvordan de bruges, af større betydning.
Andre Kostolany, en aktiemarkedsinvestor, der blev en af de mest succesrige investorer i det 20. århundrede, har sagt that “facts only account for 10% of the reactions on the stock market; everything else is psychology.”
Velhavende og indflydelsesrige offentlige personer verden over er nu bevidst klar over, at de har en stærk evne til at manipulere offentlighedens følelser. Mange berømtheder har lært, hvordan man øjeblikkeligt tilskynder til revolution eller pumper deres yndlingsmønter og -aktier med kun 280 tegn. I Bitcoin-revolutionens æra er influencers lige fra berømtheder til milliardærer til politikere alle begyndt at bøje deres sociale indflydelse for at ændre Bitcoin-stemningen til deres fordel.
This creates a virtual tug-of-war for control of bitcoin’s positioning in the public eye.
Hvordan beregnes social lytning?
Now that you know what social listening is in a general sense, you’re probably wondering how the heck people can make sense of all that data. I found a company that serves as a strong example of social listening in action: Lunar Crush.
Lunar Crush is a social listening and analytics company that allows you to track the social mentions and public perception of Bitcoin in rea -time. It creates detailed rankings of digital coins based on metrics like “social dominance,” “sentiment analysis” and “influencer rankings.” All of these metrics are used to create data-driven insights for investors.
Its site explains that “Social Dominance calculates the ‘share of voice’ across all social media data. This is similar to Market Dominance; however, instead of dividing a coin’s market cap by the entire cryptocurrency market, we divide a coin’s social volume by the entire cryptocurrency market’s social volume.”
For eksempel:
Bitcoin social volumen: 1,000,000 omtaler
Hele cryptocurrency-markedets sociale volumen: 10,000,000 omtaler
1,000,000 / 10,000,000 = 10%
Bitcoin social dominans i dette eksempel ville være 10 %
Med andre ord giver datadrevet indsigt, drevet af sociale lyttemetrikker, bitcoin-analytikere muligheden for at træffe beslutninger baseret næsten udelukkende på det antal gange, "Bitcoin" er blevet nævnt på tværs af store dele af sociale medier.
Emotional data intelligence doesn’t only calculate the frequency of “Bitcoin” mentions across social media. It is now possible to predict bitcoin prices using what’s referred to as “sentiment analysis.”
An EDA can crawl through archives of every tweet, post and comment across all of social media, analyzing each for keywords that indicate “bullish” or “bearish” sentiment of a chosen digital asset such as bitcoin. This data is then translated into human digestible market insights based on overall public opinion.
Et nyt guldfeber til dataanalyse
I denne digitale tidsalder er offentlighedens følelser alt. Med den kan intet fejle; mod det kan intet lykkes. Den, der former offentlighedens følelser, går dybere end de, der vedtager vedtægter eller afsiger retsafgørelser. Influentere på sociale medier, berømtheder og offentlige personer er væverne i vores fælles fortælling. Derfor er det bydende nødvendigt at forstå omfanget af deres indflydelse.
These claims of social listening’s newfound importance are backed up when German emotional data intelligence company Stockpulse noter, “While the technologies themselves may not be new, the interest from exchanges and banks is. To date, the tech companies leading the software development have largely served hedge funds, seeking a competitive market edge. Major exchanges have now jumped on board.”
Teknologien til at forudsige og planlægge for ændringer i offentlighedens følelser eksisterer allerede, gjort let tilgængelig ved hjælp af forudsigelige algoritmer og dataindsamling. Store institutioner og titaner i industrien er allerede i gang med at indføre disse kvantitative analyseprotokoller. Når det er sagt, er de fleste mennesker stadig stort set uvidende om, at disse teknologier overhovedet eksisterer.
Følelsesmæssig dataintelligens bruges til at udvikle sentimentanalyse
Stockpulse is a machine learning/AI tech company that has developed data analytics software and algorithms to quantitate social media data into actionable investment insights. It works primarily with what it describes as “Digital Language Processing” (DLP), also referred to as “sentiment analysis.”
Til Nasdaq, Naan wrote that “Stockpulse collects and analyzes data from social media sources around the clock in German, English, and Chinese… We have historical data from alternative sources that date back to 2011. Our web crawlers are continuously scanning thousands of different Internet sources for relevant financial topics and communication, collecting several million tweets, chat messages, message board posts, news articles, and comments to news articles each day.”
Påstandene om webcrawlere, der indsamler massive butikker af alle sociale medier-interaktioner, er rent faktuelle. Mange velrenommerede kilder gentager disse påstande.
“Emotional Data Intelligence” can be used to create quantifiable rankings of public figures based on the potential to influence markets.
Ifølge Naan, i artikel skrevet for Nasdaq, “Some market participants potentially have a higher impact on the movement of prices than others.”
Stockpulse har udviklet en kurateret liste over verificerede sociale medier-brugere (inklusive Twitter-konti fra administrerende direktører for børsnoterede virksomheder, indflydelsesrige politikere, journalister, analytikere og nyhedsbureauer) og rangeret deres evne til at påvirke markeder ved hjælp af forudsigende algoritmer, dataindsamling og maskinlæring.
Anvendelserne af sådan teknologi går langt ud over kuraterede lister.
“In addition to detecting the expert network of social media users for a single stock or industry, an alert system for specific Twitter accounts could be highly relevant,” Naan wrote for Nasdaq. “As soon as a Twitter user identified as a relevant and credible source for a stock posts anything about that company, trading surveillance wants to know about it. Having this information as quickly as possible is key.”
In regards to Bitcoin, similar predictive algorithms can rank public figures based on their ability to influence bitcoin’s price. You can now find data-driven rankings boards for Twitter users with “potential to influence Bitcoin.” The attention economy has officially been quantified.
Take Musk, for example. It’s no secret that he would currently top the list of public figures with the ability to influence bitcoin. As such, It would be ideal to program an algorithm to place a buy or sell order precisely when Musk tweets something that contains the keyword “Bitcoin.” If the algorithm indicates bullish sentiment, you buy, and if it indicates bearish sentiment, you sell.
En rangeret liste over influencers ville ikke kun visualisere, hvilke offentlige personer der har størst indflydelse. Investorer vil meget overvåge det for at advare brugerne om præcis det øjeblik, hvor en af disse influencers poster noget, der ville påvirke bitcoin-prisen.
Hvordan påvirker følelsesmæssig dataintelligens Bitcoin-prisen?
For at besvare dette spørgsmål retfærdigt, er vi nødt til at tage skridt tilbage og se på, hvordan bitcoin interagerer med sociale medier anderledes end traditionelle aktier.
According to Korean scientists Sejung Park and Han Woo Park, in their academic study called “Relationer mellem omdømme og kommunikation på sociale medier på kryptovalutamarkeder,” “Bitcoin posts were more frequent when the coins’ prices were high and less frequent when the prices were low.”
Med andre ord forsøger Bitcoin-influentere at time deres marketingbudskaber til markedets højder og lavpunkter, hvilket giver offentlige personer mulighed for at maksimere deres potentielle indflydelse over markedskøb.
This isn’t a shocking, new phenomenon by itself, but now EDAs give marketers the ability to use this same strategy using precise social dominance metrics instead of loosely timing price volatility.
Influencers and brands have become attached to this new, more powerful form of marketing which entices new investors using excitement, hype and memes in concurrence with timed postings. As long as they remember to say “this is not financial advice,” there’s not any liability.
Dette er ikke økonomisk rådgivning. Se? :)
Gourang Aggarwal, a researcher for NIIT University in India, calculated tangible results for this concept in his paper “Forstå sociale faktorer, der påvirker Bitcoin-markedet.” Aggarwal wrote, “Opinions of social media influencers having a relationship with Bitcoin-industry (negative) has a correlation value -0.0631 which shows that a negative news story from a big personality or celebrity might drop the Bitcoin price.”
He continued, “Media messages that relate to the keywords ‘Bitcoin bans’ (negative) (the 6th attribute) correlate with a value of -0.1329 and can also lead towards a drop in the price of Bitcoin.”
In layman’s terms, it is statistically true that any news about negative buzzwords (aka, FUD) like “Bitcoin bans,” “ChinaBan,” or any other negative sentiment from celebrities generally results in a price drop. Duh. Men det bliver mere indsigtsfuldt, når du indser, at spredning af disse budskaber er et bevidst forsøg på at bruge EDA'er til at påvirke den offentlige mening om nye nye teknologier som blockchains og Bitcoin.
Mange modstandere af Bitcoin sigter mod at dræne priserne ved at sprede negative følelser om teknologien. De bruger ofte FUD (frygt-baserede buzzwords) for at skræmme potentielle afhoppere fra det gamle system væk. EDA'er tillader dem, der spreder FUD, at gøre det med drastisk øget hyperspecificitet. Med andre ord kan de bruge følelsesmæssig dataintelligens til at målrette FUD mod dem, der er mest tilbøjelige til at tro det.
Ser på jer, regeringer, centralbanker og hedgefonde ;)
Brug af EDA'er til at spore den epidemi-lignende spredning af investeringsideer
I hvilket omfang vores data bliver brugt og kommodificeret er stadig et mysterium for de fleste mennesker. Ifølge Naan, “People interacting on social media generate emotional data by expressing their emotions and opinions via tweets, forum posts, and blogs. They also consume it, and in the process are influenced by the sentiments, feelings, and opinions expressed by others.”
Social media data have moved far beyond location tracking and TikTok recommendations. Our applications now can track our emotional habits and influence our opinions with “hyper-targeted” conversion placements.
For mere om farerne ved dette koncept, tjek Netflix-dokumentaren "Det sociale dilemma".
Vedrørende Bitcoin, Ross Christopher Phillips fra University College London har sagt that “This work demonstrates how marketers can apply epidemic detection techniques to social media data to predict Bitcoin prices and provides some empirical evidence that ‘bubbles’ mirror the social epidemic-like spread of an investment idea.”
Dette sommerfugleeffektkoncept skaber et potentielt kryds mellem EDA'er og bitcoin-volatilitetsforudsigelse.
Similarly, Mehrnoosh Mirtaheri, USC Information Sciences Institute, wrote about using social listening metrics to track “pump and dump schemes” in his paper “Identifikation og analyse af kryptovalutamanipulationer på sociale medier".
He wrote, “Specifically, given financial and Twitter data pertaining to a particular coin, our method can detect, with reasonable accuracy, whether there is an unfolding pump and dump scheme, and whether the resulting pump operation will succeed in terms of meeting the anticipated price targets.”
Algorithms and machine learning have developed a method capable of predicting the occurrence of “pump and dump schemes” for specific digital tokens. It can also reasonably predict their chances of success.
Phillips echoed this confident analysis, writing that “The authors found the relationship between price and Twitter submissions acts as an amplification mechanism; a positive feedback loop is identified whereby firstly price increases cause search volume to increase, which in turn causes mentions on Twitter submissions to increase, with this, in turn, causing a further price increase.”
In other words, there is a tangible sequence of events that occurs whenever bitcoin’s price fluctuates dramatically.
Når en bullish begivenhed forårsager en prisstigning, cirkulerer en epidemi-lignende spredning af hype og opmærksomhed, som får bitcoin-prisen til at stige endnu mere. Det samme gælder, når det anvendes på et bearish scenario.
Did you ever hear from someone that Musk wasn’t tweeting to manipulate prices but rather that he was “experimenting”?
Det var det, han eksperimenterede med.
Universiteter verden over har udført adskillige meget relevante undersøgelser for at måle, om berømtheders indflydelse på markedsvolatilitet kan spores og forudsiges. De to nøglepunkter i den anvendte forskningsmetodologi omfatter sammenligning af brugerdata på sociale medier med aktiemarkedsudsving.
Kort sagt, hvis nogen poster om Bitcoin på sociale medier, især på Twitter og Reddit, kan algoritmer spore, om det indlæg på nogen måde har fået bitcoins pris til at trende opad eller nedad. Folk, der er gode med tal, kan følge dette og træffe investeringsbeslutninger baseret på disse resultater.
Phillips wrote that, “Data favors a more epidemic-like definition, describing a price fluctuation as occurring by psychological contagion, where the news of price increases spurs investors’ enthusiasm which spreads contagiously and brings in a larger group of investors, drawn in by envy and excitement about the previous price rises.”
Another framework for understanding this: As bullish news spreads across social media in an epidemic-like fashion, the bitcoin price will rise epidemically, too. Similarly, bitcoin’s price will fall accordingly if FUD or bearish news is spread in an epidemic-like manner.
En anden måde at se på dette: Bitcoin svinger i henhold til massernes mening. Decentralisering i al sin pragt.
Popular influencers like Musk have realized that their social media accounts are an increasingly powerful financial tool. When celebrities post about exciting “investment opportunities,” people begin to flock to the asset because they already hold strong pre-existing positive associations with that celebrity. Furthermore, the online fandoms of that same celebrity start to share and amplify the investment idea until an epidemic-like spread is created. This is also why new phenomena like the price of AMC and GameStop shares are so resilient.
Sagen om Elon Musk og Bitcoin
An example of this in the Bitcoin arena would be Musk boasting about his love of Bitcoin and tweeting about Tesla’s intentions to invest in the asset. Long-term holders of bitcoin profit greatly off of Musk hype due to the influx of new buyers it generates. Afterward, those same bitcoin “HODLers” start to engage in an epidemic-like spread of posts of their own, bragging about their gains and spreading memes. This contagion-style hype spread causes bitcoin prices to pump dramatically. This also inevitably causes less experienced investors to buy during bad price points due to FOMO (fear of missing out).
When Musk tweeted bullish Bitcoin content, such as the news of Tesla buying in or the occasional positive meme, the bitcoin price soared to the moon. When he tweeted “bearish” sentiments, such as environmental concerns for Bitcoin mining, the prices tanked accordingly.
Virksomhedspropaganda eller revolutionær retorik?
Hvad synes du om, at algoritmer bruges til at spore og påvirke vores følelser?
Bitcoin is a revolutionary technology that offers to solve some of the world’s greatest injustices. As such, it seems that it is ethical to use any means necessary to spread the good word. However, governments and private institutions can also use EDAs to influence public opinion for an innumerable amount of other subjects. It seems to me that this realization does indeed warrant a thorough ethical examination.
Filosofisk set er revolutionær retorik og propaganda tæt beslægtede, men også fundamentalt forskellige. Begge er forbundet med den epidemiske spredning af meddelelser, som tidligere nævnt.
However, the ideas and intentions behind them couldn’t be farther apart.
Revolution, in its purest intended definition, stems from the concept of defending basic human rights. It is the idea that if governments don’t treat their citizens fairly then those citizens will, and should, band together to demand a system change. This unity is exclusively achieved through the epidemic spread of revolutionary rhetoric.
It’s a fundamental function of the “American dream.” Generally speaking, revolution stems from good intentions. It’s about freedom and equality above all else. Sometimes, people go off the rails and break things, set fires, all that crap. That garbage is unfortunate, but it is also an inevitable human behavior.
Uanset hvad stammer revolutioner næsten altid fra klassiske amerikanske idealer om frihed og fair konkurrence.
I modsætning hertil stammer propaganda fra ambitioner om samfundskontrol. Magthaverne bruger propaganda til at få folk til at tilslutte sig bestemte filosofier og ideer uden at forklare de grundlæggende begreber bag dem.
In other words, they expect you to “take their word for it.”
Udbredte budskaber af denne størrelsesorden, hvis de følges blindt, hvis de efterlades ubestridte og uden kilder, er meget mere beslægtet med propaganda. Med andre ord kan Bitcoinere bruge EDA'er og sociale lyttemål til at sprede et positivt nyt alternativ, men ældre institutioner kan også bruge disse algoritmer til at sprede propaganda og hjernevaske offentligheden.
Spørg dig selv om de langsigtede konsekvenser af dette forhold mellem EDA'er og markedspriser. Hvad sker der, når nogen styrer beskederne, og samtidig styrer beskederne pengene?
I will be outlining that the power of social media influencers, if ignored and unquestioned, is potentially a massive hindrance to the concept of “fair konkurrence".
Der er gode argumenter for at se denne teknologi som dårlig for samfundet frem for god.
Naan wrote that, “We don’t know anything about the person, but there are metrics with probability scores where you can identify if a person is more important than another person.”
It seems that algorithms determining “human importance” raise potential ethical concerns.
And Naan noted another potentially harmful development: “Trading surveillance teams can monitor any rumors or posts about relevant events in real-time in social media and get instant notifications if certain companies or events suddenly move into focus.”
These power players get real-time access to all the premium data-driven insights. The competition gap between “average joe” investors and wealthy/institutional investors has increased exponentially with the implementation of EDAs.
På den ene side bruger politikere, centralbanker, hedgefonde og medier ofte deres rigdom, magt og indflydelse til at gøre sig selv rigere og forbrugerne fattigere. De efterlader ofte investorer i en ond cirkel med at give én og tage to.
På den anden side bruger Bitcoin-influentere (de velrenommerede) deres rigdom, magt og indflydelse til at promovere en ny teknologi med et stærkt potentiale til at øge den finansielle inklusivitet på verdensplan.
Anvendelsestilfældene for blockchain-teknologi er nærmest ubegrænsede og løser potentielt utallige systemiske problemer, der konstant er til stede gennem hele vores liv. Dette ser vel ud til at retfærdiggøre brugen af EDA'er til at fremme masseadoptionen af Bitcoin? I det mindste ved vi, at store finansielle institutioner allerede bruger EDA'er; Bitcoinere skal muligvis bruge disse teknologier, hvis blot for at sikre en fair kamp.
Forsvar af følelsesmæssige dataalgoritmer
It’s important to note that the root of ethical issues is not about technology; it’s about the people who control it and use it to manipulate markets or bitcoin prices. It’s those with ulterior motives who govern the technology which need to be further examined.
Henry Regler har forklarede, at “With the growth of social media’s presence in financial markets, it is perhaps only a matter of time before regulators themselves employ Sentiment Analysis and other tools in their market surveillance. Some legal experts said they wouldn’t be surprised if they already have.”
There are still many essential questions left unexplored, even after all of the initial technical data research. Is it ethical to track and measure such things as users’ social media sentiment? Is public opinion supposed to be controlled and predicted? What are the long-term consequences of leaving these complex algorithms exclusive to big corporations, governments, and hedge funds?
These are things that might sound alarmist upon initial reading. The point is not to assume that everything about emotional data intelligence and celebrity influence must be manipulative or oppressive. Technology doesn’t automatically function in the interest of malice, as “Terminator"Eller"Krigsspil” ville illustrere.
Hvad hvis alle disse nye kraftfulde teknologier og algoritmer kunne bruges af afvænningsfaciliteter til at hjælpe mennesker med afhængighed? Hvad hvis videnskabsmænd brugte dem til at udvikle mental sundhed forskning i overensstemmelse med sociale medier data? Hvad hvis de kunne reducere de negative psykologiske virkninger af hyppig brug af sociale medier i unge kroppe?
Der synes at være mange flere utvivlsomt etiske anvendelser for denne teknologi, som ikke kun indebærer at gøre rige investorer rigere. Bestem selv, hvordan alle disse fortællinger og fintech-udviklinger passer ind i dit verdensbillede.
Det er mine meninger baseret på et bjerg af læsning og akademisk forskning. Jeg er ikke blevet betalt for at skrive eller undersøge dette emne
Der er stærke grunde til at tro, at kontrolleret social indflydelse kan være skadelig og manipulerende. Der er også stærke beviser for strategisk social påvirkning, der fremmer en bedre udbredt forståelse af forstyrrende teknologier som Bitcoin og dets potentiale til at øge det sociale gode.
Yderligere implementering af følelsesmæssig dataintelligens og EDA'er kan føre til en dyb centraliseret kontrol af den offentlige mening og følelsen af sociale medier. EDA'er kunne også fremskynde den udbredte adoption af Bitcoin, som nogle ser som den største tekno-sociologiske revolution i menneskehedens historie.
Hvem skal bestemme?
Unsurprisingly, the fate of free will seems to remain in the hands of wealthy influencers and predictive algorithms. Now, it’s off to the races.
Dette er et gæsteindlæg af Cameron Palmer. Udtalte meninger er helt deres egne og afspejler ikke nødvendigvis dem fra BTC Inc Bitcoin Magazine.
Kilde: https://bitcoinmagazine.com/markets/social-sentiment-and-the-bitcoin-price
- "
- 000
- adgang
- Konto
- Handling
- Vedtagelse
- rådgivning
- algoritme
- algoritmer
- Alle
- tillade
- amerikansk
- analyse
- analytics
- applikationer
- OMRÅDE
- argumenter
- omkring
- artikler
- aktiv
- Aktiver
- forfattere
- Banker
- forbud
- bearish
- milliardærer
- Bitcoin
- Bitcoin minedrift
- Bitcoin Price
- Bitcoin Revolution
- bitcoinere
- blockchain
- Blockchain teknologi
- blogs
- board
- brands
- BTC
- BTC Inc
- Bullish
- købe
- Købe
- tilfælde
- Årsag
- forårsagede
- berømtheder
- Celebrity
- Centralbanker
- Direktør
- odds
- lave om
- kanaler
- fordringer
- Coin
- Mønter
- Indsamling
- Kollegium
- kommentarer
- råvare
- Kommunikation
- Virksomheder
- selskab
- konkurrence
- computing
- forbruge
- Forbrugere
- indhold
- fortsæt
- Konvertering
- Selskaber
- cryptocurrency
- kryptocurrency marked
- data
- Dataanalyse
- dag
- decentralisering
- Efterspørgsel
- Detektion
- udvikle
- Udvikling
- digital
- Digital aktiver
- Digitale mønter
- Disney
- dokumentarfilm
- Drop
- ekko
- økonomi
- Edge
- Elon Musk
- følelser
- Engelsk
- miljømæssige
- lighed
- etik
- begivenhed
- begivenheder
- udveksling
- Udvekslinger
- Eksklusiv
- eksperter
- øje
- retfærdig
- Mode
- Film
- finansielle
- Finansielle institutioner
- fintech
- passer
- Fokus
- følger
- FOMO
- Til investorer
- formular
- Framework
- Gratis
- Frihed
- funktion
- fonde
- kløft
- Generelt
- Give
- Guld
- godt
- regeringer
- stor
- gruppe
- Grow
- Dyrkning
- Vækst
- Gæst
- gæst Indlæg
- vejlede
- Helse
- Hedgefonde
- Høj
- historie
- Hodlers
- hold
- Hvordan
- How To
- HTTPS
- menneskerettigheder
- idé
- identificere
- KIMOs Succeshistorier
- Herunder
- involvering
- Forøg
- Indien
- industrien
- indflydelse
- at påvirke
- influencers
- oplysninger
- indsigt
- Inspiration
- institutioner
- Intelligens
- interesse
- Internet
- investering
- investor
- Investorer
- spørgsmål
- IT
- Journalister
- Nøgle
- koreansk
- Sprog
- føre
- førende
- lærte
- læring
- Politikker
- Niveau
- ansvar
- Liste
- Børsnoterede
- Lytte
- Lister
- placering
- lokalitetssporing
- London
- Lang
- kærlighed
- machine learning
- større
- Making
- Marked
- Market Cap
- marketingfolk
- Marketing
- Markeder
- måle
- Medier
- meme
- memer
- Mental sundhed
- nævner
- Metrics
- million
- Mining
- spejl
- penge
- overvågning
- Moon
- bevæge sig
- film
- Nasdaq
- Netflix
- netværk
- netværk
- nyheder
- numre
- Tilbud
- online
- åbent
- Udtalelse
- Udtalelser
- Muligheder
- ordrer
- Andet
- Papir
- Mennesker
- Personlighed
- perron
- Populær
- Indlæg
- magt
- forudsigelse
- Premium
- præsentere
- pris
- private
- Producenter
- Profit
- Program
- fremme
- Psykologi
- offentlige
- pumpe og dump
- kvantitativ
- rejse
- RE
- reaktioner
- Læsning
- realtid
- årsager
- reducere
- Regulators
- forskning
- Resultater
- Rygter
- haste
- scanning
- VIDENSKABER
- forskere
- Søg
- sælger
- forstand
- stemningen
- sæt
- Del
- delt
- Aktier
- skifte
- Simpelt
- Websteder
- lille
- So
- Social
- Socialt godt
- sociale medier
- influencere på sociale medier
- sociale netværk
- Samfund
- Software
- softwareudvikling
- solgt
- SOLVE
- spredes
- starte
- Stem
- bestand
- aktiemarkedet
- Lagre
- forhandler
- Strategisk
- Strategi
- undersøgelser
- Studere
- succes
- vellykket
- overflade
- overvågning
- systemet
- mål
- tech
- Teknisk
- Teknologier
- Teknologier
- Tesla
- verdenen
- Tænker
- TIE
- TikTok
- tid
- Tokens
- top
- Emner
- spor
- Sporing
- Trading
- behandle
- behandling
- tweet
- enhed
- universitet
- us
- brugere
- værdi
- Virtual
- Volatilitet
- bind
- Rigdom
- web
- websites
- WHO
- Wikipedia
- ord
- Arbejde
- virker
- world
- verdensplan
- skrivning