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Date post: 22-Jan-2018
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Analysing conversations on Twitter: D o e-petitions help to increase public engagement with politics? Molly Asher, Data Science Intern, Leeds Institute for Data Analytics Dr. Viktoria Spaiser, UAF at School of Politics and International Studies Prof. Cristina Leston Bandeira, School of Politics and International Studies The project is a pilot study in preparation for a major ESRC research grant bid on Connecting People and Parliament: Evaluating the UK Parliament’s e-Petitions System
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Page 1: Analysing conversations on Twitter:  Do e-petitions help to increase public engagement with politics?

Analysing conversations on Twitter: Do e-petitions help to increase public engagement with politics?

Molly Asher, Data Science Intern, Leeds Institute for Data Analytics

Dr. Viktoria Spaiser, UAF at School of Politics and International Studies

Prof. Cristina Leston Bandeira, School of Politics and International Studies

The project is a pilot study in preparation for a major ESRC research grant bid on “Connecting People and Parliament: Evaluating the UK Parliament’s e-Petitions System”

Page 2: Analysing conversations on Twitter:  Do e-petitions help to increase public engagement with politics?

Leader of the House of Commons:“Could be the catalyst for a fundamental change in the relationship between Parliament and the petitioner”.

Page 3: Analysing conversations on Twitter:  Do e-petitions help to increase public engagement with politics?

Title of issue HashtagNumber of signatures

Number of tweets

Number of users involved

Invoke Article 50 of The Lisbon Treaty immediately. #exitingtheeudebate 127,111 32 23Debate in the House the Local Government Pension Scheme Investment Regulations #lgps 105,772 25 23Ban driven grouse shooting #grouseshooting 123,077 7,364 2,704

Urge the South Korean Government to end the brutal dog meat trade #DogMeatTrade 102,131 2,997 1,113

Stop retrospective changes to the student loans agreement #StudentLoanDebate 133,969 86 81Include expressive arts subjects in the Ebacc #EbaccDebate 102,499 3,283 1,451Stop spending a fixed 0.7 per cent slice of our national wealth on Foreign Aid #UKAidDebate 235,979 7,474 3,092Stop Cameron spending British taxpayer's money on Pro-EU Referendum leaflets

#EUReferendumLeaflet 221,866 48 41

Give the Meningitis B vaccine to ALL children, not just newborn babies. #menb 823,348 141 87

Keep the NHS Bursary #NHSBursary 162,568 447 292The DDRB's proposals to change Junior Doctor's contracts CANNOT go ahead. #JuniorDoctors 110,065 224 176Make an allowance for up to 2 weeks term time leave from school for holiday. #termtimeholiday 127,199 4 4

Fund more research into brain tumours, the biggest cancer killer of under-40s (April) #braintumourresearc 120,129 630 282

EU Referendum Rules triggering a 2nd EU Referendum #EURefDebate 4,149,757 6 4

Make it illegal for a company to require women to wear high heels at work #heelsatwork 152,420 272 75

Restrict the use of fireworks to reduce stress and fear in animals and pets #FireworkDebate 104,038 92 50

Is anyone taking part?

Page 4: Analysing conversations on Twitter:  Do e-petitions help to increase public engagement with politics?

Natural Language Processing & Text Mining• Topics: from words to networks

Word 1 Word 2 Weight

Debate Grouseshooting 1931

Ban Grouseshooting 853

Grouse Grouseshooting 739

Driven Grouseshooting 722

Grouseshooting mps 567

Ban Debate 487

Debate Mps 483

Grouse Shooting 475

Grouseshooting Moors 403

Ban Driven 378

Debate

Grouseshooting

“You may know a word by the company it keeps” – John Firth

Page 5: Analysing conversations on Twitter:  Do e-petitions help to increase public engagement with politics?

Natural Language Processing & Text Mining• Topics: from words to networks

Tweets: Debate

Community Detection based upon maximising modularity.

Modularity: how many links within communities there are compared with links between communities

Page 6: Analysing conversations on Twitter:  Do e-petitions help to increase public engagement with politics?

Natural Language Processing & Text Mining• Topics: from words to networks

Tweets: Debate

• Frustrating• Polarised• Bias• Praising• Favouring• Stevedouble

Page 7: Analysing conversations on Twitter:  Do e-petitions help to increase public engagement with politics?

Natural Language Processing & Text Mining• Topics: from words to networks

Tweets: Debate

• Depressingly• Peat• Dismissed• Importance• Highlight• Climatechange• Uplands• CarolineLucas

Page 8: Analysing conversations on Twitter:  Do e-petitions help to increase public engagement with politics?

Natural Language Processing & Text Mining• Topics: from words to networks

Tweets: Debate

• Chrisgpackham• natalieben• leagueacs• markavery• campaigners• Directed• Attack• Vitriol

Page 9: Analysing conversations on Twitter:  Do e-petitions help to increase public engagement with politics?

Natural Language Processing & Text Mining• Topics: from words to networks

Tweets: Debate

• Masculinity• Primal• Father• Son• Bond• Thirdposition• Shot• Food

Page 10: Analysing conversations on Twitter:  Do e-petitions help to increase public engagement with politics?

Natural Language Processing & Text Mining• Topics: from words to networks

Tweets: Debate

• Heather• Flooding• Henharrier• Ecology• Calderdale• Environment• Review• Study

Page 11: Analysing conversations on Twitter:  Do e-petitions help to increase public engagement with politics?

Natural Language Processing & Text Mining• Topics: from words to networks

Tweets: Oral Evidence session

• Difference in reaction to two forms of parliamentary session interesting

• Oral Evidence session allowed petition creator and others to present evidence

• Danger that debate process may not be conducive to the e-petition aims

Page 12: Analysing conversations on Twitter:  Do e-petitions help to increase public engagement with politics?

Next stages:

• Social network analysis• Retweet/mentions networks: Who is involved in the debates on Twitter

and how are they connected?• Comparing participants & connections across various debates

Take away points:

• Conversations on twitter can help us to understand more about the e-petition system and whether it is increasing feelings of trust and engagement with politics

• It is possible to understand text from twitter quickly and effectively using semantic network analysis


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