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Sergey Savastiouk's Avatar
published in Blogs
Feb 28, 2021

The Associated Press is Using A.I. to Re-Imagine News Delivery

The recent rise of artificial intelligence has influenced businesses across industries. Journalism and media are the latest fields to join the party, experimenting with using AI and machine learning to better their operations. But any new technological introduction is met with some hand-wringing when outcomes and effects are uncertain, and news is no different – the Associated Press’ 2017 announcement that they were using software to automate some sports and investment writing led to confusion: Would quality go down? Would writers and reporters lose their jobs? What did this mean for the news?

As it turns out, fears of catastrophic consequences seem misguided. In an interview with Poynter, the AP’s vice president and managing editor, Lou Ferrara, outlined its potential for making the newsroom more efficient, as well as how the AP will continue to expand its use in their operations – part of a quest to eliminate “a lot of sprawling, legacy-type processes…that consume people’s time” and “use the resources we have to [instead] do the journalism.”

To Ferrara, “anything, where there’s structured data”, is ripe for automation. The AP is honing “a couple of technologies” to pull information from government databases and get it to reporters faster. Weather reports are being automated; election coverage is an area of “deep exploration”, with the potential to explore the data analysis side more quickly, and on a larger scale, than ever before. Videos and photos also hold tremendous potential, with Ferrara citing the editing process as one example.

Time and money are the ultimate determining factors for Ferrara when determining whether to automate a process: can algorithms perform time-saving processes so journalists can focus their attention more productively? Ferrara believes that in a “messy business” like journalism, time spent researching information and interviewing people is of greatest value. Removing process-oriented work that could be farmed out to AI creates more time for journalists to do real journalism.

In a shifting market, time saved also means money saved – which helps the AP survive. Ferrara characterizes the organization as “realists” pushing to remove unnecessary “legacy operations and processes” from legacy media. He describes the industry as quick to embrace change for “production work” rather than “the craft of journalism”. His job is to remove impediments to that craft – he cites earnings reports as a prime example – while adapting to changing tastes, like a desire for more player-focused content in sports journalism, meaningless human effort covering the game itself.

Ferrara believes that AI and human reporters can coexist in ways that enhance strengths and mitigate weaknesses. “I think that won't go away is bread-and-butter investigative reporting and reporting the news that no one else has,” says Ferrara. “When I see the news reporters are breaking, there's a lot of stuff that isn't going to be done by a robot…automation is going to be part of [journalists’] lives…[but as] tools in the background…to surface information to them faster.”

The AP has hired an automation editor, Justin Myers, to find new processes to streamline, and Ferrara acknowledges there will be some degree of job loss – but new jobs will also be created. “There's a never-ending supply of news and information [in journalism] you need to go report,” says Ferrara. “Every time you're freeing up a staffer's time, or somebody's time, that time is going elsewhere to do something that is more relevant in the modern media world we're living in.” Can automation and news delivery go hand-in-hand? If the Associated Press is any indication, not only can they coexist – they can thrive.

The Same A.I.-Driven Evolution is Coming to Financial News

Tickeron has developed a platform where Artificial Intelligence and Human Intelligence are being utilized to deliver financial news and investment ideas to users all across the world. This is not to say that financial journalists, bloggers, and prognosticators are going to be obsolete in the future. Human ideas are innovative and interesting! But Artificial Intelligence can provide ideas too, and where humans may use insight and “gut feelings” to report the news and trade ideas, A.I. uses hard data. There’s a big difference.

Tickeron’s A.I. is doing just that – scanning financial news, stock and crypto charts, ETFs and Forex, all in search of patterns and ideas that it delivers to the user. Trade ideas and insightful news are delivered right into Tickeron’s News Feed, which serves as the homepage for the site. Get tuned into the future and start investing and trading smarter on tickeron.com today. 

Related Ticker: NYT

Momentum Indicator for NYT turns negative, indicating new downward trend

NYT saw its Momentum Indicator move below the 0 level on March 01, 2024. This is an indication that the stock could be shifting in to a new downward move. Traders may want to consider selling the stock or exploring put options. Tickeron's A.I.dvisor looked at 84 similar instances where the indicator turned negative. In of the 84 cases, the stock moved further down in the following days. The odds of a decline are at .

Price Prediction Chart

Technical Analysis (Indicators)

Bearish Trend Analysis

NYT moved below its 50-day moving average on February 07, 2024 date and that indicates a change from an upward trend to a downward trend.

The 10-day moving average for NYT crossed bearishly below the 50-day moving average on February 12, 2024. This indicates that the trend has shifted lower and could be considered a sell signal. In of 14 past instances when the 10-day crossed below the 50-day, the stock continued to move higher over the following month. The odds of a continued downward trend are .

Following a 3-day decline, the stock is projected to fall further. Considering past instances where NYT declined for three days, the price rose further in of 62 cases within the following month. The odds of a continued downward trend are .

The Aroon Indicator for NYT entered a downward trend on March 01, 2024. This could indicate a strong downward move is ahead for the stock. Traders may want to consider selling the stock or buying put options.

Bullish Trend Analysis

The RSI Indicator points to a transition from a downward trend to an upward trend -- in cases where NYT's RSI Indicator exited the oversold zone, of 25 resulted in an increase in price. Tickeron's analysis proposes that the odds of a continued upward trend are .

The Stochastic Oscillator suggests the stock price trend may be in a reversal from a downward trend to an upward trend. of 56 cases where NYT's Stochastic Oscillator exited the oversold zone resulted in an increase in price. Tickeron's analysis proposes that the odds of a continued upward trend are .

The Moving Average Convergence Divergence (MACD) for NYT just turned positive on February 29, 2024. Looking at past instances where NYT's MACD turned positive, the stock continued to rise in of 51 cases over the following month. The odds of a continued upward trend are .

Following a 3-day Advance, the price is estimated to grow further. Considering data from situations where NYT advanced for three days, in of 331 cases, the price rose further within the following month. The odds of a continued upward trend are .

NYT may jump back above the lower band and head toward the middle band. Traders may consider buying the stock or exploring call options.

Fundamental Analysis (Ratings)

Fear & Greed

The Tickeron Valuation Rating of (best 1 - 100 worst) indicates that the company is fair valued in the industry. This rating compares market capitalization estimated by our proprietary formula with the current market capitalization. This rating is based on the following metrics, as compared to industry averages: P/B Ratio (4.120) is normal, around the industry mean (2.173). P/E Ratio (31.629) is within average values for comparable stocks, (32.991). Projected Growth (PEG Ratio) (3.795) is also within normal values, averaging (6.419). Dividend Yield (0.010) settles around the average of (0.040) among similar stocks. P/S Ratio (3.024) is also within normal values, averaging (17.224).

The Tickeron Price Growth Rating for this company is (best 1 - 100 worst), indicating fairly steady price growth. NYT’s price grows at a lower rate over the last 12 months as compared to S&P 500 index constituents.

The Tickeron Profit vs. Risk Rating rating for this company is (best 1 - 100 worst), indicating well-balanced risk and returns. The average Profit vs. Risk Rating rating for the industry is 84, placing this stock slightly better than average.

The Tickeron SMR rating for this company is (best 1 - 100 worst), indicating strong sales and a profitable business model. SMR (Sales, Margin, Return on Equity) rating is based on comparative analysis of weighted Sales, Income Margin and Return on Equity values compared against S&P 500 index constituents. The weighted SMR value is a proprietary formula developed by Tickeron and represents an overall profitability measure for a stock.

The Tickeron PE Growth Rating for this company is (best 1 - 100 worst), pointing to worse than average earnings growth. The PE Growth rating is based on a comparative analysis of stock PE ratio increase over the last 12 months compared against S&P 500 index constituents.

Industry description

The industry includes companies that publish and market books and magazines/periodicals. John Wiley & Sons, Inc., Meredith Corporation and Scholastic Corporation are some of the biggest companies in this industry. Like many other industries, publishing companies have branched out into online/digital publications (while retaining their original print business), to capture the burgeoning market in electronic media. Business could be cyclical in certain cases, since weak consumer sentiment during an economic downturn might depress sales of some magazines and books.

Market Cap

The average market capitalization across the Publishing: Books/Magazines Industry is 2.57B. The market cap for tickers in the group ranges from 113.09K to 13.62B. IFPJF holds the highest valuation in this group at 13.62B. The lowest valued company is DIGI at 113.09K.

High and low price notable news

The average weekly price growth across all stocks in the Publishing: Books/Magazines Industry was -0%. For the same Industry, the average monthly price growth was -2%, and the average quarterly price growth was -2%. PSO experienced the highest price growth at 5%, while IDWM experienced the biggest fall at -22%.

Volume

The average weekly volume growth across all stocks in the Publishing: Books/Magazines Industry was -40%. For the same stocks of the Industry, the average monthly volume growth was -60% and the average quarterly volume growth was -24%

Fundamental Analysis Ratings

The average fundamental analysis ratings, where 1 is best and 100 is worst, are as follows

Valuation Rating: 35
P/E Growth Rating: 66
Price Growth Rating: 50
SMR Rating: 81
Profit Risk Rating: 84
Seasonality Score: -10 (-100 ... +100)
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NYTDaily Signal changed days agoGain/Loss if shorted
 
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A.I.Advisor
published price charts
A.I. Advisor
published General Information

General Information

a global, multimedia news and information company, which engages in publishing newspapers, digital businesses, investments in paper mills and other investments

Industry PublishingBooksMagazines

Profile
Fundamentals
Details
Industry
Publishing Newspapers
Address
620 Eighth Avenue
Phone
+1 212 556-1234
Employees
5900
Web
https://www.nytco.com
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NYT and

Correlation & Price change

A.I.dvisor tells us that NYT and RELX have been poorly correlated (+33% of the time) for the last year. This A.I.-generated data suggests there is low statistical probability that NYT and RELX's prices will move in lockstep.

1D
1W
1M
1Q
6M
1Y
5Y
Ticker /
NAME
Correlation
To NYT
1D Price
Change %
NYT100%
-2.57%
RELX - NYT
33%
Poorly correlated
-1.59%
GCI - NYT
30%
Poorly correlated
-0.70%
PSO - NYT
25%
Poorly correlated
+4.84%
WLY - NYT
21%
Poorly correlated
-0.42%
SCHL - NYT
19%
Poorly correlated
-0.28%
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