Facebook, Inc. (NASDAQ:FB) Investing Heavily in Technology to Remove the Bad Stuff Before It’s Even Reported
There are two ways to get bad content, like terrorist videos, hate speech, porn or violence off Facebook: take it down when someone flags it, or proactively find it using technology. Both are important. But advances in technology, including in artificial intelligence, machine learning and computer vision, mean that we can now:
- Remove bad content faster because we don’t always have to wait for it to be reported. In the case of suicide this can mean the difference between life and death. Because as soon as our technology has identified that someone has expressed thoughts of suicide, we can reach out to offer help or work with first responders, which we’ve now done in over a thousand cases.
- Get to more content, again because we don’t have to wait for someone else to find it. As we announced two weeks ago, in the first quarter of 2018, for example, we proactively removed almost two million pieces of ISIS and al-Qaeda content — 99% of which was taken down before anyone reported it to Facebook.
- Increase the capacity of our review team to work on cases where human expertise is needed to understand the context or nuance of a particular situation. For instance, is someone talking about their own drug addiction, or encouraging others to take drugs?
It’s taken time to develop this software – and we’re constantly pushing to improve it. We do this by analyzing specific examples of bad content that have been reported and removed to identify patterns of behavior. These patterns can then be used to teach our software to proactively find other, similar problems.
- Nudity and graphic violence: These are two very different types of content but we’re using improvements in computer vision to proactively remove both.
- Hate speech: Understanding the context of speech often requires human eyes – is something hateful, or is it being shared to condemn hate speech or raise awareness about it? We’ve started using technology to proactively detect something that might violate our policies, starting with certain languages such as English and Portuguese. Our teams then review the content so what’s OK stays up, for example someone describing hate they encountered to raise awareness of the problem.
- Fake accounts: We block millions of fake accounts every day when they are created and before they can do any harm. This is incredibly important in fighting spam, fake news, misinformation and bad ads. Recently, we started using artificial intelligence to detect accounts linked to financial scams.
- Spam: The vast majority of our work fighting spam is done automatically using recognizable patterns of problematic behavior. For example, if an account is posting over and over in quick succession that’s a strong sign something is wrong.
- Terrorist propaganda: The vast majority of this content is removed automatically, without the need for someone to report it first.
- Suicide prevention: As explained above, we proactively identify posts which might show that people are at risk so that they can get help.
When I talk about technology like artificial intelligence, computer vision or machine learning people often ask why we’re not making progress more quickly. And it’s a good question. Artificial intelligence, for example, is very promising but we are still years away from it being effective for all kinds of bad content because context is so important. That’s why we have people still reviewing reports.
And more generally, the technology needs large amounts of training data to recognize meaningful patterns of behavior, which we often lack in less widely used languages or for cases that are not often reported. It’s why we can typically do more in English as it is the biggest data set we have on Facebook.
But we are investing in technology to increase our accuracy across new languages. For example, Facebook AI Research (FAIR) is working on an area called multi-lingual embeddings as a potential way to address the language challenge.
Overall, the bias in prices is: Upwards.
Note: this chart shows extraordinary price action to the upside.
The projected upper bound is: 215.12.
The projected lower bound is: 200.67.
The projected closing price is: 207.89.
A black body occurred (because prices closed lower than they opened).
During the past 10 bars, there have been 5 white candles and 5 black candles. During the past 50 bars, there have been 32 white candles and 18 black candles for a net of 14 white candles.
A spinning top occurred (a spinning top is a candle with a small real body). Spinning tops identify a session in which there is little price action (as defined by the difference between the open and the close). During a rally or near new highs, a spinning top can be a sign that prices are losing momentum and the bulls may be in trouble.
Momentum is a general term used to describe the speed at which prices move over a given time period. Generally, changes in momentum tend to lead to changes in prices. This expert shows the current values of four popular momentum indicators.
One method of interpreting the Stochastic Oscillator is looking for overbought areas (above 80) and oversold areas (below 20). The Stochastic Oscillator is 88.0157. This is an overbought reading. However, a signal is not generated until the Oscillator crosses below 80 The last signal was a sell 14 period(s) ago.
Relative Strength Index (RSI)
The RSI shows overbought (above 70) and oversold (below 30) areas. The current value of the RSI is 65.43. This is not a topping or bottoming area. A buy or sell signal is generated when the RSI moves out of an overbought/oversold area. The last signal was a sell 14 period(s) ago.
Commodity Channel Index (CCI)
The CCI shows overbought (above 100) and oversold (below -100) areas. The current value of the CCI is 111.This is an overbought reading. However, a signal isn’t generated until the indicator crosses below 100. The last signal was a sell 3 period(s) ago.
The Moving Average Convergence/Divergence indicator (MACD) gives signals when it crosses its 9 period signal line. The last signal was a buy 4 period(s) ago.
Rex Takasugi – TD Profile
FACEBOOK INC A closed down -0.090 at 207.230. Volume was 100% below average (consolidating) and Bollinger Bands were 25% narrower than normal.
Open High Low Close Volume___
207.500 208.720 206.840 207.230 10,465
Short Term: Overbought
Intermediate Term: Bullish
Long Term: Bullish
Moving Averages: 10-period 50-period 200-period
Close: 202.41 192.50 180.08
Volatility: 30 24 34
Volume: 13,811,082 16,920,888 23,499,606
Short-term traders should pay closer attention to buy/sell arrows while intermediate/long-term traders should place greater emphasis on the Bullish or Bearish trend reflected in the lower ribbon.
FACEBOOK INC A is currently 15.1% above its 200-period moving average and is in an upward trend. Volatility is relatively normal as compared to the average volatility over the last 10 periods. Our volume indicators reflect volume flowing into and out of FB.O at a relatively equal pace (neutral). Our trend forecasting oscillators are currently bullish on FB.O and have had this outlook for the last 6 periods.
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