Posts Tagged ‘Twitter’

Goodbye .@, Hello Messaging?

Tuesday, May 31st, 2016

A single-character change in how tweets are distributed highlights a massive strategic decision for Twitter.

When I first started using Twitter, I’d start my tweets with the names of other users. I wanted to give them credit for their ideas. I later discovered very few people even saw my tweets because of how they were composed. It was frustrating (and a little embarrassing) to learn I didn’t know how to use the service.

Read the full post on Medium

The Surprising Potential of a De-Smooshed Twitter

Tuesday, January 19th, 2016

A unique real-world experiment, powered by an AI, that highlights the rewards and challenges of treating people on Twitter like individuals.

Read the full report on Primal for Twitter, a personal intelligent assistant for content discovery.

The Surprising Potential of a De-Smooshed Twitter

Confessions of a Twitter Bot

Wednesday, July 24th, 2013
Twitter-Bot-2
Source Talking Politics

Bots have a bad reputation. Whether they’re sinister botnets, carrying out coordinated attacks, or annoying spambots, polluting our digital universe with crappy auto-generated content, bots are a much maligned bunch.

You might ask, if bots are bad and a huge portion of Twitter activity is already generated by bots, Why is Primal creating another one?

We believe that intelligent, well-intentioned bots can add a lot of value.

If we build a bot that truly understands you as an individual and can do useful work on your behalf, it might be a welcome addition to the social scene.

In this post, we’ll share some observations and insights into the question, Can a Twitter bot do good?
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Content Assistants for Messaging and Social Media

Wednesday, June 26th, 2013

Small conversational data such as tweets or text messages are a goldmine of individual interests. Millions of people everyday tweet about their favourite food, send a Kik or Facebook message about a recent TV episode, or take a photo on Instagram while attending a sporting event or concert.

However if you’re trying to recommend content or promote offers within a conversation, the ability to determine a user’s interests from these small data inputs is a huge challenge.

John Koestier in Venture Beat writes:

…tweets are difficult to register commercial intent…

If I tweet about my wife’s illness, are you going to target me with a random medicine? Or if you tweet about a great dinner you’re just about to eat, will you really be receptive to ads about a Greek restaurant just down the road?

In this post, we’ll show you an elegant solution for content recommendations, applied in messaging and social media platforms.
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Social Media Analysis using your Interest Graph

Wednesday, September 5th, 2012

News alert! Your social network wants to get to know you. Unfortunately, identifying and understanding your interests based on 140 characters is pretty hard to do! That’s why marketers are busy trying everything to get to know you better.

In this post, we’ll demonstrate how Primal can be used to power social media analysis. This demos highlights tweets about topics you are interested in and helps you discover related topics that people are tweeting about right now!

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