Human Factors in Hypertext (HUMAN) Opinion Mining, Summarization and Diversification Narrative and Hypertext I attended the Opinion Mining, Summarization and Diversification workshop. The workshop started with a talk titled: "On Reviews, Ratings and Collaborative Filtering," presented by Dr. Oren Sar Shalom, principal data scientist at Intuit, Israel. Next, Ophélie Fraisier, a PhD student studying stance analysis on social media at Paul Sabatier University, France, presented: "Politics on Twitter: A Panorama," in which she surveyed methods of analyzing tweets to study and detect polarization and stances, as well as election prediction and political engagement. He showed how collective opinion mining can help capture the drivers behind opinions as opposed to individual opinion mining (or sentiment) which identifies single individual attitudes toward an item. I thank a million people! https://t.co/I3quPp6nw3 He also discussed a phenomenon in which people are likely to lie to pollsters (social desirability bias) but are honest to Google ("Digital Truth Serum") because Google incentivizes telling the truth. The paper sessions followed the keynote with two full papers and a short paper presentation. Google search data as "digital truth serum" - while reporting of child abuse go down at the recession time, Google search data indicates that real child abuse increases https://t.co/DQQoAotZqB However, it feels more like a research talk rather than a #keynote. Though still interesting, I'd rather hear about a #vision for this area of #research.

In A History of Reading, the Canadian novelist and essayist Alberto Manguel describes a remarkable transformation of human consciousness, which took place around the 10th century A.D.: the advent of silent reading. Human beings have been reading for thousands of years, but in antiquity, the normal thing was to read aloud. When Augustine (the future St. Augustine) went to see his teacher, Ambrose, in Milan, in 384 A.D., he was stunned to see him looking at a book and not saying anything. The words no longer needed to occupy the time required to pronounce them. They could exist in interior space, rushing on or barely begun, fully deciphered or only half-said, while the reader's thoughts inspected them at leisure, drawing new notions from them, allowing comparisons from memory or from other books left open for simultaneous perusal.

In 1945, Vannevar Bush published "As We May Think." In it he proposed a Memex, a massive microfilm storage device where users could navigate between documents to concepts throughout the database. His concept directly inspired the invention of hypertext by Ted Nelson and Douglas Engelbart. The hyperlinking that enables so much of our online experience-- such as this link regarding hypertext-- owes much to Bush's vision. What new media might arise as a result of advances in Artificial Intelligence (AI)?

In 1945, Vannevar Bush published "As We May Think." In it he proposed a Memex, a massive microfilm storage device where users could navigate between documents to concepts throughout the database. His concept directly inspired the invention of hypertext by Ted Nelson and Douglas Engelbart. The hyperlinking that enables so much of our online experience-- such as this link regarding hypertext-- owes much to Bush's vision. Inscription honoring Vannevar Bush in the lobby of MIT's Building 13, which is named after him.

The emerging Semantic Web focuses on bringing knowledge representationlike capabilities to Web applications in a Web-friendly way. The ability to put knowledge on the Web, share it, and reuse it through standard Web mechanisms provides new and interesting challenges to artificial intelligence. In this paper, I explore the similarities and differences between the Semantic Web and traditional AI knowledge representation systems, and see if I can validate the analogy "The Semantic Web is to KR as the Web is to hypertext."