How to maintain Twitter with little effort as an academic: The Ninja’s “How to better promote your content on Twitter” Guide. Part 5

Academic Twitter can be an important tool for networking, we get it. But I’ve talked to more and more colleagues who have given up on Twitter because they felt that they couldn’t make it work and also didn’t want to spend unreasonable amounts of time on it. I get that too. Apart from the Twitter experiment I did in November 2020 and times where there’s relevant stuff going on, I also want to minimize time spent on social media/Twitter as much as possible. But, to my great surprise, I realized my accounts are still growing even though I’m not doing much. That’s when I thought “Wait, this could be relevant for my readers” and decided to explain to you what I did. The goal: Setting your Twitter account up right for a relatively low-maintenance Twitter presence with some growth In my experience, many academics sign up for Twitter and then never get on Twitter again because they don’t know how

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Long-Term Twitter Strategizing: The Ninja’s “How to better promote your content on Twitter” Guide. Part 4

Twitter is an important professional networking platform for the Digital Humanities. But it’s not exactly self-evident how to make it work in your favour. This part explains long-term Twitter Strategy. This involves a few elements which might not seem so important at first but will be to keep your Twitter presence active and at a steady growth rate, without having to constantly put in lots of effort. This includes scheduled Tweets and using analytics and reflection to determine how to best cater to the interests of your followers. As some of you might remember, I did a Twitter Engagement Experiment at some time in autumn last year. Now I wanted to share my most important learnings, so you can make your Twitter presence more effective with just as little work as you want to put in. Actually, this was all just meant to be one post but it got so crazy long that I decided to make it into a

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Bio Engineering, Tweet Structure or How to lure your audience: The Ninja’s “How to better promote your content on Twitter” Guide. Part 3

Twitter is an important professional networking platform for the Digital Humanities. But it’s not exactly self-evident how to make it work in your favour. This part explains how you can improve the rate you’re gaining followers at by immediately providing them with reliable information about what value you provide for them. The best and quickest way to achieve that is by a one-time improvement session for your bio! If that’s not a life hack 😉 As some of you might remember, I did a Twitter Engagement Experiment at some time in autumn last year. Now I wanted to share my most important learnings, so you can make your Twitter presence more effective with just as little work as you want to put in. Actually, this was all just meant to be one post but it got so crazy long that I decided to make it into a series of digestible short posts. More Twitter Growth/Strategy advice 8) Set up your

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Easy and quick strategies to #scicomm your DH project

Your digital project is great, I’m sure of that – but does it even exist if nobody knows about it? Science communication is the answer to avoid this philosophical dilemma. In this short post, I wanted to share a list of quick-and-easy-to-implement ideas to add some science communication to your projects. This is just a short post to give you some ideas, not tutorials on how to do it. However, I am open to any tutorial requests you might have on the topics involved. As for the Twitter bot, there is a short post available already. So let’s get to it! Quick and easy strategies to #scicomm your DH project Create a better / thematic / facetted search interface. Maybe people aren’t using your data because the interface is not intuitive and they can’t find things or don’t know what to look for and where to look. This is the basic building block to build all the following things on.

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Create your Tweepy/AWS-powered Twitter bot in a day

This post wants to convince you to try out creating a Twitter bot using Python Tweepy and AmazonAWS Lambda because it’s easy and fun. Of course, you can use any other utilities but Tweepy and AWS Lambda are the ones I tried. This is not a full tutorial but I can make one if anyone is interested. Inspired by the #100DaysofDH challenge In this post, I will just give you some basic Twitter knowledge, links for what you need to know to get it done and a link to the github of my #100DaysofDH challenge for which I implemented such a bot. If you want more guidance, please let me know. Also, read the post on the challenge because I noted down some restrictions I realized the Twitter automation guidelines impose on bots as I went along. In my example, I think I’m in fact doing one or two things which you actually shouldn’t do (I think bots shouldn’t like

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Join the #100DaysofDH Challenge!

I have been following the #100DaysofCode community for a while now and thought that it was sad that there didn’t seem to be a connection with the DH community. 100 Days of Code is such a great project which is motivational for those willing to learn but also a great way to foster a community. So I thought, why not start #100DaysofDH and I did. Looking forward to your contributions! The main activity around this will be happening on Twitter (account is @100DaysofDH, hashtag #100DaysofDH) but there is also a minimalist github.io page: https://100daysofdh.github.io/  On the github, you can also find the current state of the Tweepy and AWS-powered bot. The story behind the creation of this challenge Before getting into the details of how the challenge works, let me share some thoughts that I had in mind for the adaption of the 100 days challenge to the DH (skip this part if you just want the rules which can

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