One of the continuing challenges of Human Computer Interaction research is the full inclusion of people with special needs into the digital world. In particular, this crucial category includes people that experiences some kind of limitation in exploiting traditional information communication channels. One immediately thinks about blind people, and several researches aim at addressing their needs. On the contrary, limitations suffered by deaf people are often underestimated. This often the result of a kind of ignorance or misunderstanding of the real nature of their communication difficulties. This chapter aims at both increasing the awareness of deaf problems in the digital world, and at proposing the project of a comprehensive solution for their better inclusion. As for the former goal, we will provide a bird's-eye presentation of history and evolution of understanding of deafness issues, and of strategies to address them. As for the latter, we will present the design, implementation and evaluation of the first nucleus of a comprehensive digital framework to facilitate the access of deaf people into the digital world.

Rep. Brandon Gill, R- Tex., got into a heated exchange with CNN host Pamela Brown over the Trump administration's crackdown on government spending, specifically for public broadcasting at PBS and NPR. By 1970, both PBS and NPR sprang forth from the CBP, and Americans were treated to the "News Hour," "Sesame Street," British comedies and science programming at a time when there were only three networks, cable TV was strictly for the boondocks, and VCRs were science fiction. A big part of the reason that programming was limited was that production costs for broadcasting were incredibly high. In David Grzybowski's book, 'The Big Story,' he cites Philadelphia news anchor Larry Kane talking about how hard it was during the 1979 Three Mile Island nuclear scare to just get a live TV shot from Harrisburg to Philly: "I know we had a live microwave, but the microwaves didn't go that far. I think we sought some satellite time. The satellite times in those days were 5,000 a minute."

Ten years ago, if you bandied around the word Artificial Intelligence in a Kenyan newsroom, you would be branded an illusionist, today it is the buzzword. AI, machine learning and data processing are fast becoming essential in any newsroom that hopes to survive the digital revolution avalanche. In fact, job titles such as data scientist, data analyst, content strategist, content engineer and impact editors are fast gaining currency in media houses deemed digital journalism early adopters. Today, it is almost impossible to distinguish between an article authored by a machine and that written by a journalist, AI has enabled editors to figure out their audiences needs to granular levels and offer them articles that "speak to their souls". If the trend of automation of journalism catches on in the continent fast enough, in a few years it would be difficult to tell if the news anchor calling you "mpendwa msikilizaji" is a robot or human.

The solution is automation powered by artificial intelligence!

Okay Google, I give up. I honestly have no idea what you're trying to "moonshot" with Project Wing. A couple of weeks ago, X, the experimental technology lab that is part of Alphabet, Google's parent company, posted a new video about their delivery drone effort that, if anything, manages to make things look less exciting. From my perspective (as a journalist who has to watch a vast number of videos like this), this falls under the category of overly inspirational "delivery drones will change the world" marketing material. It makes a lot of grandiose statements but doesn't show a lot of tangible progress.