Chester Curme

[Chester Curme @ChesterCurme]

Our work featured in @sciam: http://t.co/0YqzpbGJOz Many thanks to @cintagliata for putting together a great podcast! @suzymoat @t_preis

[Chester Curme @ChesterCurme]

@danakst Thanks for writing such a terrific article on our new paper! @t_preis @suzymoat @WarwickBSchool

[Chester Curme @ChesterCurme]

Check out my friend's new paper! http://t.co/v0vaRfQiw9

[Tobias Preis @t_preis]

Our coauthor H. Eugene Stanley from Boston University live on @CNBC: Can Google predict the market? http://t.co/ozrJYS80gN @BostonUNews

[IARPA @IARPAnews]

In case you missed it, IARPA-funded researchers front and center in @BW article: http://t.co/YZ6ruIo2sp

[Scientific Reports @SciReports]

Quantifying Wikipedia Usage Patterns Before Stock Market Moves http://t.co/P56bCjylt7

[Finance News @ftfinancenews]

Wikipedia’s crystal ball http://t.co/lckkm9Abs5

[Suzy Moat @suzymoat]

Thanks to the @washingtonpost for covering our new Wikipedia results! http://t.co/GhJ216lWGA http://t.co/qT3clNXiQm @t_preis @WarwickBSchool

[WBS @WarwickBSchool]

Can Wikipedia predict the stock market? Computer says yes http://t.co/RSUo9ocdCA via @investmentweek

[Suzy Moat @suzymoat]

Our Wikipedia work in the @MailOnline - many thanks @PeterCampbell1! http://t.co/rO9wj1muWk http://t.co/qT3clNXiQm @t_preis @WarwickBSchool

[Suzy Moat @suzymoat]

Many thanks to @el_pais for a great article on our Wikipedia and Google studies! http://t.co/eyj218nffB @WarwickBSchool @t_preis