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Multi-Perspective Linking of News Articles within a Repository

AAAI Conferences

Given the number of online sources for news, the volumes of news generated are so daunting that gaining insight from these collections become impossible without some aid to link them. Semantic linking of news articles facilitates grouping of similar or relevant news stories together for ease of human consumption. For example, a political analyst may like to have a single view of all news articles that report visits of State heads of different countries to a single country to make an in-depth analytical report on the possible impacts of all associated events. It is likely that no news source links all the relevant news together. In this paper, we discuss a multi-resolution, multi-perspective news analysis system that can link news articles collected from diverse sources over a period of time. The distinctive feature of the proposed news linking system is its capability to simultaneously link news articles and stories at multiple levels of granularity. At the lowest level several articles reporting the same event are linked together. Higher level groupings are more contextual and semantic. We have deployed a range of algorithms that use statistical text processing and Natural Language Processing techniques. The system is incremental in nature and depicts how stories have evolved over time along with main actors and activities. It also illustrates how a single story diverges into multiple themes or multiple stories converge due to conceptual similarity. Accuracy of linking thematically and conceptually linked news articles are also presented.


YouTube announces sweeping changes to the way it handles breaking news

Mashable

YouTube is doing more to combat the spread of misinformation during major breaking news events. The online video behemoth announced Monday it's taking dramatic steps to improve the quality of videos that appear in search results for breaking and historical news events. In addition to changing the way search results are organized, the company says it will begin providing information from third parties such as Wikipedia and Encyclopedia Britannica for videos about a small number of historical events that have been subject to misinformation campaigns, such as the Apollo moon landings and Oklahoma City bombing. These sweeping changes will broadly effect how videos are ranked on YouTube, and they are just the latest extension of the Google News Initiative that kicked off in March in an effort to support journalism and combat fake news. "YouTube has a responsibility to make authoritative sources readily available, provide context to help people make their own decisions, and support journalism with technology that allows news to thrive," said YouTube's chief product officer Neal Mohan in a statement.


A new machine learning app for reporting on hate in America

#artificialintelligence

This led ProPublica -- with the support of the Google News Lab -- to form Documenting Hate earlier this year, a collaborative reporting project that aims to create a national database for hate crimes by collecting and categorizing news stories related to hate crime attacks and abuses from across the country. Now, with ProPublica, we are launching a new machine learning tool to help journalists covering hate news leverage this data in their reporting. The Documenting Hate News Index -- built by the Google News Lab, data visualization studio Pitch Interactive and ProPublica -- takes a raw feed of Google News articles from the past six months and uses the Google Cloud Natural Language API to create a visual tool to help reporters find news happening across the country. The feed is generated from news articles that cover events suggestive of hate crime, bias or abuse -- such as anti-semitic graffiti or local court reports about incidents.


A new machine learning app for reporting on hate in America

#artificialintelligence

Hate crimes in America have historically been difficult to track since there is very little official data collected. What data does exist is incomplete and not very useful for reporters keen to learn more. This led ProPublica -- with the support of the Google News Lab -- to form Documenting Hate earlier this year, a collaborative reporting project that aims to create a national database for hate crimes by collecting and categorizing news stories related to hate crime attacks and abuses from across the country. Now, with ProPublica, we are launching a new machine learning tool to help journalists covering hate news leverage this data in their reporting. The Documenting Hate News Index -- built by the Google News Lab, data visualization studio Pitch Interactive and ProPublica -- takes a raw feed of Google News articles from the past six months and uses the Google Cloud Natural Language API to create a visual tool to help reporters find news happening across the country.


Google taps AI to improve news results in Search

#artificialintelligence

Google says it's implementing AI and machine learning techniques to improve story suggestions in Google Search. In a blog post this morning, the tech giant announced that users in the U.S. in English (with more languages and locations to come in the next few months) who search for a news topic will now see an article carousel at the top of the results page. When there are multiple stories related to a search, each will be organized by relevance and quality in a way that accounts for a diversity of perspectives. "People come to Search for all types of information to help them form a better understanding of the world and the topics they care about most," wrote Google Search product manager Duncan Osborn. "We've continued to bring new improvements to Search to help people better orient themselves around a topic and easily explore related ideas, so they can more quickly go from having a question in mind to developing deeper understanding … Our research has shown that clustering results into clearly-defined stories is critical in helping people easily navigate the results and identify the best content for their needs."