Christy Warden (Social Media)
09/27/16
Talked with Ramee about what kind of content the twitter account seeks to retweet/take links from. Issues she has with HootSuite: - Content in the feed is not relevant, often from illegitimate sources (random people's tweets that happen to contain the word entrepreneurship)
Goals for HOOTSUITE: - improve filters to grab tweets with legitimate content - innovation/research good from most fields, specifically life sciences/ health - preferred from around Houston/ San Francisco/ Boston
THINGS I DID for HOOTSUITE: - add the filter:link to the HootSuite feeds to only include tweets which link to external sources (hopefully increases legitimate tweets) - add geolocation (Houston) to the innovation feed to decrease scope of search - added "patent" search to entrepreneurship field and "research" to innovation - required both feeds to filter for tweets containing links
ANTICIPATING IMPORTANT TWEETS/ BLOGPOSTS BRAINSTORMING:
- example given by Dr. Egan: We could have created a blogpost linking all of the Channels that the debates would be shown on
- looking for a calendar to anticipate http://www.zerohedge.com/news/2015-12-31/whats-ahead-2016-key-events-next-12-months ??
- Potentially have people write blogposts with searchable terms/tags just before events ("10 Nobel Prize Innovators Who blah blah blah" right before the announcement of Nobel Prizes this October)
FINDING PEOPLE WHO FOLLOW PEOPLE LIKE US:
I am reading about this guy's crawler https://github.com/bianjiang/tweetf0rm which appears to do this. I will continue looking at it on Thursday.
09/29/16
MAKING NOTE OF OUR EXISTING CRAWLERS
Spent a significant amount of time with Harsh tying to figure out how to get the existing twitter crawler to work and download its output file to a place we can access.
HERE IS THE PLAN Making plans for how to use twitter crawler to find relevant people to follow: I am changing the twitter crawler so that it will do this:
WE PLUG IN: The twitter handle of a person we think posts content similar to ours or whose followers are likely to overlap with people interested in us What the crawler will do: Crawl their tweets and make a count for each tweet for how many entrepreneur buzzwords we find. Take the top scoring tweet and crawl the followers of that tweet. Rank the RTs by selection criteria which I haven't totally decided yet but might include: - How many of their tweets contain buzzwords - their follower/following ration - how active they are
OUTPUT: a list of twitter handles of people who are similar to us/ like our kind of content/ are likely to follow back and interact with us.
