internet - The Rise of the HK bloggers

Roland Soong, producer of ESWN, made it into the Hong Kong Next magazine, here quoted by Letter from China, under the title 'The Rise of the Hong Kong bloggers'. They are lagging a bit behind in Hong Kong, but are catching up.
Soong was the first who started to translate Chinese media sources into English. Now he is not longer the only one, but still cannot be beaten in both quantity and speed. He refrains from giving comments, but just gives sources, a choice other somethings think is suspicious and they try to read more into it. In a contribution of Letter from China:

"I do not make comment. I put everything on the internet. Who is right and who is wrong, you decide."

And:

"So you think reading Washington Post or New York Times and you know the whole world? What the South and North argue is all about money. So you believe one single report can really achieve fairness and justice?"

Update: Also here in The Standard. An older story, but I have seem to have missed that one.
Very hard to keep track of all those local papers.
While ESWN's attitude is fair enough, it also represents an emerging problem in dealing with information on the internet. Even ESWN makes choices, since he needs some sleep too, about what is important or not. Much of the attention, like also at Global Voices has been focused on mobilizing information and voice. Still much work is there to be done, but in the end selecting, asking yourself for whom you are making a weblog, will become more important.
While the new media have mixed up our roles as sender and receiver of messages, there is still a functional divide between the two. And this receiver is getting now and then pretty desperate, very happy he does not read more languages, since that would make the problem only bigger. Filtering becomes more important and we cannot rely on the algorithms of Google and Yahoo to do that choices only. They can help, but I would not trust them enough to leave it all to them. That will be an interesting challenge for the future. How do we filter our information and how can we do it better?