On August 22nd, the "Zhong Xueshe Salon" hosted by NetEase News chose the topic of "How Artificial Intelligence Can Reshape Journalism," inviting experts and scholars from institutions like Peking University, Zhongda University, Reuters, and Xinhua News Agency to discuss the impact of new technologies on media transformation. Below is a refined version of Wang Haiming's keynote speech presented by Reuters' market development manager.
From Monitoring to Verification: Artificial Intelligence Identifies False News for Journalists
Reuters News Tracer is a tool designed to monitor social media, initially utilized internally within Reuters to assist journalists and editors in tracking news sources appearing on social media platforms. Over time, as the algorithm deepened, it became apparent that machine learning could handle more complex tasks. For instance, we could use algorithms to differentiate between news-related posts and general conversations. After three to four years of continuous optimization, this project is now being tested and made available to external users.
News Tracer analyzes all content on Twitter that might be considered news—identifying who first shared the message, assessing its trustworthiness, and marking the confidence level from 0% to 100%.
Recently, I personally observed the spread of a rumor about a public company, starting from its initial release to its peak. When this false news first surfaced, I used the News Tracer tool to monitor it. Recognizing the source, I knew it was false. As it gained traction, reaching over 800 retweets, it was then picked up by influential users (Big Vs) or other media outlets. Once it hit websites, it began to gain momentum, but it was debunked within 24 hours. I witnessed the entire process because I caught the original source early on. The false news started spreading within a small circle and exploded once it was shared by news sites and influential accounts.
The current applications of News Tracer include:
1. Automatically verifying the authenticity of news using algorithms to analyze factors reporters typically consider.
2. Removing irrelevant content like ads, spam, rumors, and general chatter through algorithms and machine learning, categorizing reliable data into groups while displaying future updates.
3. Real-time monitoring to verify news on Twitter and other social media platforms.
4. Providing a vast backend database enabling users to search for relevant news and distinguish between true and false reports.
Traditionally, AI applications focus on specific areas, but Reuters News Tracer represents a big data, AI, and machine learning application starting from the news source end.
Reuters News Tracer can directly capture information posted by eyewitnesses on social media and publish it instantly if verified as true. For example, after the earthquake in Japan, the earliest online reports appeared four minutes before the first media release. News Tracer can cross-check the information immediately upon publication. If verified as accurate, it releases the report and indicates the credibility level—whether 50%, 70%, or 100%—along with the data source for identification.
Machine Readable News Helps Users Place Orders in Real-Time
Since 2009, we've introduced Machine Readable News products. These systems connect to users' ordering systems to place orders automatically. This product has undergone several generations of innovation and is now quite mature.
By automatically reading and analyzing news, the system determines whether an event is positive or negative. It then compares the results with historical databases to assess the impact of the news on commodities and stock prices. The real-time data and analysis obtained through this method allow machines to recognize trading signals and place orders directly.
Additionally, this product can analyze market sentiment based on news. For instance, it provides an index to track mood changes in asset classes or stocks. For example, during a certain period, are people feeling bullish or bearish about commodities or gold? Our front-end visualizes these results, allowing users to see the outcomes clearly.
Another aspect is providing some economic indicators. Economic indicators are simpler than news, particularly in the stock market and foreign exchange market. Nowadays, many stock, forex, and commodity market transactions come directly from such indicators.
Establishing Enterprise Relationship Maps Through Semantic Analysis
What value can be derived from news? Reuters has built a supply chain of corporate relationships through news analysis.
There are various networks of relationships among individuals, and companies are no exception. We have an engine that analyzes company news. After analysis, we can see that other companies mentioned in the news are either customers, competitors, parent companies, consumers, or subsidiaries. This helps establish connections.
Here, we'll use Reuters' accumulated products or data. Ninety-nine percent of the world's listed companies have IDs in our database, making it easier to identify them. We also have two key databases: one for organizations and another for individuals. One focuses on company associations, and the other links listed company executives. After labeling, it becomes easier to distinguish upstream and downstream connections. Third-party users wanting to process data can directly access raw materials in the cloud and use our machine to generate associations.
These tools and databases not only enhance journalistic accuracy but also provide valuable insights for businesses and investors alike, shaping how we interact with information in both traditional and emerging markets.
Water Heater Breaker
Leakage protector, also known as leakage switch, is a new type of electrical safety device, mainly used for:
(1) Prevent electric shock accidents caused by electrical equipment and electrical circuit leakage;
(2) Preventing single-phase electric shock accidents during electricity use
(3) Timely cut off single-phase grounding faults in the operation of electrical equipment to prevent fire accidents caused by leakage
(4) With the improvement of people's living standards and the continuous increase of household appliances, personal electric shock and fire accidents caused by defects, improper use, and inadequate safety measures of electrical equipment in the process of using electricity have brought undue damage to people's lives and property. The emergence of leakage protectors provides reliable and effective technical means for preventing various accidents, timely cutting off power, and protecting equipment and personal safety.
The leakage protector should meet the following technical requirements
(1) The sensitivity of electric shock protection should be correct and reasonable, and the starting current should generally be within the range of 15-30 milliamperes
(2) The action time of electric shock protection should generally not exceed 0.1 seconds
(3) The protector should be equipped with necessary monitoring equipment to prevent it from losing its protective effect when the operating state changes. For example, for voltage type electric shock protectors, a neutral grounding device should be installed.
ZHEJIANG QIANNA ELECTRIC CO.,LTD , https://www.traner-elec.com