Just because something's a trending news topic, doesn't guarantee, or necessarily even imply, that it's a trending topic of conversation ...
On Fri, Jun 19, 2009 at 5:04 PM, AJ Chen <[email protected]> wrote: > From user perspective, it's useful if a trending app can pick up new hot > topics as they are emerging, particularly for the rather distinct events > like airline accident. this is one of the main design principles I have for > my twitter digest app. now, whether a new topic should be considered as > trending topic may vary a lot among the various trending applications, which > depends on detection sensitivity and policy. I'm sure Twitter guys spotted > the airline accident, but it did not make it to the top 10 list. At google > trends, the signal may be too low to be detected because they are dealing > with much larger volumes. > > I'm just trying to understand the difference between different services by > looking at some real cases. another good case study is today's recall of > sour dough. as shown on the daily new topics on http://web2express.org, > it emerged out at 8:40am shortly after AP reported the news. I consider it > a new trending topic interesting to consumers. but, it does not make it to > Twitter.com top 10 topics. It did show up on google trends today. > > -aj > > > > On Fri, Jun 19, 2009 at 11:51 AM, David Fisher <[email protected]> wrote: > >> >> Topics don't just trend because its something 'important'. Now if it >> was of significantly larger volume than another topics (like the >> iphone's launch today), then that is rather interesting, but from what >> I can tell its mostly the most popular things floating to the top >> generally, plus some spam-filtering. I haven't figured out the >> exacting mechanisim for when something hits trending, but its not >> rocket science either. >> >> Maybe I'm missing your point >> >> -...@tibbon >> >> On Jun 19, 2:35 am, Bjoern <[email protected]> wrote: >> > On Jun 19, 7:00 am, AJ <[email protected]> wrote: >> > >> > > This case study shows the difference between various trending >> > > applications. A good real time semantic analysis is the key that makes >> > > the difference, I think. >> > >> > Maybe I misunderstood, but isn't the more likely explanation that the >> > topic simply wasn't trending? >> > >> > Björn >> > > > > -- > AJ Chen, PhD > Co-Chair, Semantic Web SIG, sdforum.org > http://web2express.org > Palo Alto, CA >
