best practices for using twitter

8/12/2019 Best Practices for using twitter

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www.bournemouth.ac.uk

What I learned from 1,000,000

tweets about Bournemouth

Dr. Nigel L. WilliamsSenior Lecturer Project ManagementPrincipal Investigator Festival Impact Monitor

[email protected]

@BUFestim


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Overview

Why use twitter?

Twitter compared to other platforms

Twitter as a public space

Research

Practice

How to use Twitter

Dos and Donts

Next Steps


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What is twitter?

A microblogging service (limit of 140 characters

per tweet)

Relationships do not require reciprocation. A

user can follow any other user, and the userbeing followed need not follow back.

Twitter posts are called tweets

Common practice of responding to a tweet RT stands for retweet,

@ followed by a user identifier address the user

# followed by a word represents a hashtag


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Twitter as a public space

Structural characteristics

Friend Follower relationships

Lists

Hashtags

Content of interactions

Similar to how individuals meet in real life

Amount of personal information revealed

Enough to know that you are dealing with a

person


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Whats in a Tweet?

Common perception is that tweets only

contain text


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Whats in a tweet

However, twitter contains far more than

text.

The following pages show all of the dataavailable in twitter

Adapted from:

http://citizenshift.org/blogs/betweenthelines/2012/12/19/2012-map-

of-a-twitter-status-object-for-dummies/



Whats in a Tweet?



Twitter for Research

Google Scholar Search: 4,300,000 articles

about Twitter vs 4,200,000 on Facebook

Why do researchers like twitter? A complete archive of interactions

Profile data

Location data Time data



Twitter for Research

Has been used in research on:

Disaster recovery

Flu tracking (Sadilek et al 2012) Marketing

Politics

Events Destination



General Twitter Usage

Breaking news

Activism

Customer complaints

Promotion


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Breaking News


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Activism


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Promotion


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Complaints


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Getting more out of

Twitter

Usual Advice (Bufferapp.com):1. Post great content

2. Write a professional bio

3. Use hashtags

4. Place a widget on your website/blog

5. Engage with others

6. Make sure your content is shareable ( photos, videos)

7. Reshare other peoples content8. Reach out to influencers

9. Stay active

10. Follow other users


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Dos


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Dos

Be an Informer

Benefits (Naaman, 2010)

Higher number of followers

30 times the amount of Retweets (Hutto et

al. 2013)

Higher online reach


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What else is twitter good

for?

Good place to experiment with campaigns:

Ask for photos

Ask to tweet with geotags

Ask for hashtag promotions

Twitter polls

Good for getting the pulse of the

profession

Indicator of what is happening in the

private areas of social networks


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Conclusion

Twitter has characteristics that make it

useful for research and practice

Sample (biased) of current discourse on arange of topics

Platform for experimenting with social

campaigns


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www bournemouth ac uk

Further Reading

http://citizenshift.org/blogs/betweenthelines/2012/12/19/2012-map-of-a-twitter-status-object-for-dummies/

https://leveragenewagemedia.com/blog/social-media-infographic/

http://blog.bufferapp.com/category/social-media-tips

Hutto, C. J., Yardi, S., & Gilbert, E. (2013, April). A longitudinal study of follow

predictors on twitter. In Proceedings of the SIGCHI Conference on Human Factors inComputing Systems (pp. 821-830). ACM.

Kwak, H., Lee, C., Park, H., & Moon, S. (2010, April). What is Twitter, a socialnetwork or a news media?. In Proceedings of the 19th international conference onWorld wide web (pp. 591-600). ACM.

Kwak, H., Chun, H., & Moon, S. (2011, May). Fragile online relationship: a first look atunfollow dynamics in twitter. In Proceedings of the SIGCHI Conference on Human

Factors in Computing Systems (pp. 1091-1100). ACM. Naaman, M., Boase, J., & Lai, C. H. (2010, February). Is it really about me?: message

content in social awareness streams. In Proceedings of the 2010 ACM conference onComputer supported cooperative work (pp. 189-192).

Sadilek, A., Kautz, H. A., & Silenzio, V. (2012, July). Predicting Disease Transmissionfrom Geo-Tagged Micro-Blog Data. In AAAI..
https://leveragenewagemedia.com/blog/social-media-infographic/https://leveragenewagemedia.com/blog/social-media-infographic/https://leveragenewagemedia.com/blog/social-media-infographic/https://leveragenewagemedia.com/blog/social-media-infographic/https://leveragenewagemedia.com/blog/social-media-infographic/https://leveragenewagemedia.com/blog/social-media-infographic/https://leveragenewagemedia.com/blog/social-media-infographic/https://leveragenewagemedia.com/blog/social-media-infographic/

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