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.
NYT in +1.25% Uptrend, growing for three consecutive days on December 26, 2024
Moving higher for three straight days is viewed as a bullish sign. Keep an eye on this stock for future growth. Considering data from situations where NYT advanced for three days, in of 328 cases, the price rose further within the following month. The odds of a continued upward trend are .
Technical Analysis (Indicators)
Bullish Trend Analysis
The Stochastic Oscillator shows that the ticker has stayed in the oversold zone for 8 days. The price of this ticker is presumed to bounce back soon, since the longer the ticker stays in the oversold zone, the more promptly an upward trend is expected.
NYT may jump back above the lower band and head toward the middle band. Traders may consider buying the stock or exploring call options.
Bearish Trend Analysis
The Momentum Indicator moved below the 0 level on December 18, 2024. You may want to consider selling the stock, shorting the stock, or exploring put options on NYT as a result. In of 84 cases where the Momentum Indicator fell below 0, the stock fell further within the subsequent month. The odds of a continued downward trend are .
The Moving Average Convergence Divergence Histogram (MACD) for NYT turned negative on December 18, 2024. This could be a sign that the stock is set to turn lower in the coming weeks. Traders may want to sell the stock or buy put options. Tickeron's A.I.dvisor looked at 50 similar instances when the indicator turned negative. In of the 50 cases the stock turned lower in the days that followed. This puts the odds of success at .
NYT moved below its 50-day moving average on December 17, 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 December 20, 2024. This indicates that the trend has shifted lower and could be considered a sell signal. In of 15 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 December 02, 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.
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 80, placing this stock slightly better than average.
The Tickeron Seasonality Score of (best 1 - 100 worst) indicates that the company is fair valued in the industry. The Tickeron Seasonality score describes the variance of predictable price changes around the same period every calendar year. These changes can be tied to a specific month, quarter, holiday or vacation period, as well as a meteorological or growing season.
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 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 PE Growth Rating for this company is (best 1 - 100 worst), pointing to 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.
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 (3.998) is normal, around the industry mean (2.767). P/E Ratio (30.621) is within average values for comparable stocks, (39.901). Projected Growth (PEG Ratio) (3.795) is also within normal values, averaging (6.419). Dividend Yield (0.011) settles around the average of (0.044) among similar stocks. P/S Ratio (2.927) is also within normal values, averaging (23.505).
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Fundamental Analysis Ratings
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General Information
a global, multimedia news and information company, which engages in publishing newspapers, digital businesses, investments in paper mills and other investments
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