In the world of trading even the analysts get algorithmically ranked and traded using a service called TipRanks. The algorithms track the performance of analysts and bloggers by comparing their market predictions with actual results, and then ranks them so that investors can hire and fire accordingly.
TipRanks developed its Financial Accountability Engine™ and sophisticated algorithms to scan and interpret relevant financial text from the entire internet. Basically it does the research for you. You are no longer watching the game in the dark – you know the players’ stats.With TipRanks, you can see the measured performance of anyone who provides financial advice by simply looking up his or her name. TipRanks is now “virtually following” [meaning without consent?] more than 5000 (and growing) individual experts.
“We’re still pretending that we’re inventing a brain when all we’ve come up with is a giant mash-up of real brains. “… “People are unwittingly feeding information into the Cloud for automated services, which they’re not being paid for.” [Jaron Lanier] said. “You have this fantasy that it’s machines doing it without people helping. We are throwing people out of work based on a fantasy.”
In a digital update of “Invasion of the Body Snatchers,” Silicon Valley is siphoning and pilfering human intelligence to feed Mr. Roboto to replace us."
―NYTimes - Silicon Valley Sharknado
twitter sans-humans specimen No. 2 via G Miller
Bots - talking amongst themselves - via
*Hahaha almost too easy
*Note the link is now broken, I guess the chrome extension has been removed.
In April President Vladimir Putin signed into force a federal law banning the use of obscene language in mass media under threat of fines up to 200,000 rubles ($5,500). On Monday this week Vladimir Putin signed into law another bill banning swear words in literature and art, including concerts, theatre, plays and public movie shows.
Russian media have reported that software known as the “swear-bot” will be used to police cursing on the Internet.
The 25 million-rouble ($729,500) system will search the 5,000 mass media sites that are already monitored manually, the report said.
The current version of the software only scans text, but in the future it will also analyse audio and video files, according to the spokesperson for the Federal mass media control agency Roskomnadzor.
Carlos A. Rivera created ArtRank in 2012, an algorithmic artist ranking system that has become incredibly influential for collectors. Within ten days of launching it amassed over 900 subscribers including ten billionaires whom all rely on the algorithm’s quarterly recommendations. The $3,500 a quarter subscription buys you an early viewing of the rankings. From the ArtRank FAQ:
The algorithm was developed for an emerging art fund in 2012. The algorithm facilitated a 4200% return on investment over a 16-month period.
The algorithm is comprised of six exogenous components: Presence, Auction results, market Saturation, market Support, Representation and Social mapping (PASSRS). Each component is qualitatively weighted in service of defining a vector or ‘artist trajectory’. We compare past trajectories to help forecast early emerging artists’ future value.
This guardian article provides a lot more insight into collecting art with ArtRank.
Responses to the Facebook emotion contagion experiment
Above is the fictional Facebook Psychological Warfare Slider™ created by Jake Davis. Another response, this one functional, comes from Jonty Wareing who has created A Better Place - a chrome extension that works as a ‘positivity filter bubble’. It uses sentiment analysis to strip out negative Twitter posts from your timeline.
Facebook’s massive-scale emotional contagion experiment
Facebook researchers have published a paper documenting a huge social experiment carried out on 689,003 users without their knowledge. The experiment was to prove that emotional states can be transferred to others via emotional contagion. They proved this by manipulating different user’s newsfeed to be more positive or more negative and then measuring the emotional state of the user afterwards by analysing their subsequent status updates.
we test whether emotional contagion occurs outside of in-person interaction between individuals by reducing the amount of emotional content in the News Feed. When positive expressions were reduced, people produced fewer positive posts and more negative posts; when negative expressions were reduced, the opposite pattern occurred.
They demonstrate how influential the newsfeed algorithm can be in manipulating a person’s mood, and even test tweaking the algorithm to deliver more emotional content with hope that it would be more engaging.
The experiments took place for one week (January 11–18, 2012), and the ’participants’ were randomly selected based on their User ID. In total, over 3 million status updates were analysed. The lead researcher was Adam Kramer, email@example.com
Japan unveils ‘world’s first’ android newscaster: Kodomoroid
Intrducing fail-proof & faster than light Skynews. Powered by High-Frequency-Information-Trading algorithms.
Japanese scientists on Tuesday unveiled what they said was the world’s first news-reading android, eerily lifelike and possessing a sense of humour to match her perfect language skills.
What if news agencies would employ algorithms to generate, to analyse and to write a majority of their news, printed by automated industrial machines and delivered instantly by TV Presenter Androids?
- According to Automated Insights, robots will generate 1 billion stories a year in 2014. In 2030, ninety percent of the news could be written by algorithms.
Combined Ad and Product Targeting
Felix Cohen has shared a screenshot of a targeted Facebook ad that promotes a ‘limited edition hoodie’ that conveniently has his first name on it. This could be the start to a new wave of algorithmic product and ad targeting that uses generative design strategies to create bespoke products aimed specifically at the recipient of the ad. Perhaps in the near future you’ll have even personalised gifts generated to purchase in time for your loved one’s forthcoming birthdays. Your facebook data can potentially provide endless material for generative algorithms, your name appearing on things may just be the beginning.
RCA Design Interactions graduate, Daniel Tauber, proposes that one day algo-driven dating agencies may offer products that simulate the long-term success of a couple using predictive models. I like the prediction algorithm applied to long-term dating but I think proposing this as a standalone device is totally out-dated, perhaps it was needed to visualise the logic of the algorithm? This project could have easily been mocked up as an online simulator. The context to the project resonates with the themes I blog about, and at the RCA Show this context appeared to drive various projects. Tauber writes:
From the Living with AI Series.
More than one third of U.S. marriages begin with online dating. This algorithmic matching of individuals has radically changed how people meet and who they meet. Yet maintaining a happy and lasting relationship remains difficult.
Predictive technology today informs your searches (google), what you want to watch (netflix), what you will buy (amazon) and who your friends are (facebook). What will be next?
This work explores how forecasting through simulations and the modeling of human behavior might influence the way we manage and maintain relationships.