~RT @aaranged: Leveraging Wikipedia Data for Deeper Consumer Insights - mklnd.com/1jfxIfP @nxfxcom This is all sort of brilliant // +1
RT @mediagalleries: #BreakingNews candidate via @WikiLiveMon: http://t.co/VvOKKm6Ck3. Media gallery: http://t.co/UGUqkmXhh2
RT @mediagalleries: #BreakingNews candidate via @WikiLiveMon: http://t.co/riHnw2fAbj. Media gallery: http://t.co/0h6aL56Qra
XabierCollados @WikiLiveMon dice que el PSG ha ganado la liga @loreilo79
Gran invento.
Techniques for covering #BreakingNews events, collected by @TwitterMedia: https://t.co/iNBbzOco6A “Tweeting photos” section→@mediagalleries.
RT @mbostock: How to turn off Maverick’s aggressive autocorrupt: right-click input > Substitutions > uncheck everything. http://t.co/gCF3BO…
@frischkopp Herzlichen Glückwunsch zur neuen Herausforderung!
@mnot Doing so in the blog post will hurt them more ;-) The good thing: you can un-shame them w/ an update to the post once they fix it.
@mikewest @mnot +1 for a post. Also consider stripping “Hey ” as to not make tweets visible to all your followers (https://t.co/f1vmc7S9hp).
~RT @alexmilowski: I’m starting to blog about my PhD research: “Enabling Scientific Data on the Web” […] http://t.co/c6pWZTUk95 // Congrats!
@dret One of my muted hashtags :-)