Tax Authorities Activity on Facebook

TARC BBS

Duccio Gamannossi degl’Innocenti

12-10-2017

Overview



  • Introduction
  • Data
  • Pages and Users Activity
  • Time Evolution of Activity
  • Text Analysis (plain and Alchemy)
  • Sentiment Analysis (Alchemy)
  • Open Questions

Communication in the digital era



  • Taxpayers perception of tax authorities is crucial for compliance
  • Rising importance of social media in information retrieval
  • Huge amount of good quality data available
  • Various novel techniques to be applied

Research Goals



  • Characterize tax authorities activity on FB
  • Characterize users activity on tax authorities FB pages
  • Analyse taxpayers’ engagement
  • Analyse taxpayers’ sentiment (forthcoming)
  • Topics extraction and text analysis

Data



  • Sample restricted to English speaking authorities
  • 30+ Pages considered
  • 43,186 Posts - 127,714 Comments- 1,131,173 Likes
  • Huge variability in population

The Dataset

Name Tot Post Tot Likes Tot Comments Tot Shares Base Volume
1 UK 4826 12360 12202 19853 44415
2 UK-Graduates 3290 6440 2577 632 9649
3 Ghana 259 8517 1252 1766 11535
4 Nigeria 84 71 37 4 112
5 Namibia 24 219 8 36 263
6 South Africa 871 16517 11081 111819 139417
7 Botswana 209 6399 915 2003 9317
8 Zambia 908 27924 1854 1536 31314
9 Rwanda 1038 1948 213 390 2551
10 Uganda 2343 38497 11061 8126 57684
11 Malawi 373 2721 1072 683 4476
12 Africa 1092 2761 152 676 3589
13 Tanzania 587 310058 7549 6929 324536
14 Mozambique 258 8136 682 4070 12888
15 Kenya-KRACare 1302 383328 43231 50225 476784
16 Kenya-StoriZaUshuru 263 53569 2230 4949 60748
17 Pakistan 492 4238 719 1303 6260
18 India-CBEC 442 4912 174 653 5739
19 India-RevenueService 655 40621 1493 8034 50148
20 India-IncomeTax 115 3584 356 449 4389
21 India-itaxirs 755 56577 1944 24825 83346
22 Sri Lanka 11 7 0 2 9
23 Bangladesh 2476 162494 2153 29926 194573
24 Malaysia 5705 700931 52575 173060 926566
25 Singapore 964 11239 351 5866 17456
26 Singapore-Customs 842 14524 1216 4601 20341
27 Australia 10246 216011 57292 1393168 1666471
28 Papua New Guinea 17 167 14 2 183
29 New Zealand-Business 258 2027 274 551 2852
30 New Zealand-Student 335 552 275 60 887
31 US 20 4145 25024 1464 30633
32 Jamaica 2034 1806 314 880 3000
33 Sierra Leone 92 1859 311 233 2403
34 Average 1309 63793 7291 56326 127410

Pages and Users Activity on Pages

Users Activity on Pages

Total Posts

Unique Active Users

Engagement

Time Evolution of Activity

Posts Time Evolution

Time Evolution by Post Type

Authority Day-time Activity (HMRC)

Users Day-time Activity (HMRC)

Coverage Day-time Activity (HMRC)

Lifetime of Posts and Users (HMRC)

Users attention patterns (HMRC)

Text Analysis

Wordcloud of HMRC Posts

Wordcloud of URA Posts

Comments WC, HMRC page

Comments WC, URA page

Word Freq. of HMRC Posts

Word Freq. of URA Posts

Word Freq. of HMRC Comments

Word Freq. of URA Comments

Digrams, HMRC Post

Digrams, URA Post

Digrams, HMRC Comments

Digrams, URA Comments

HMRC most associated terms

URA most associated terms

Sentiment Analysis - Alchemy

Comments Sentiment in Time

Concepts (Alchemy)

Keywords (Alchemy)

Open Questions

Work in Progress

  • Identify possible patterns in communication linked to economic development/complexity:

    • Tax authority and Users activity (Evolution in time, Type of posts, etc.)
    • Most frequent words and topics treated (cluster of words/digrams based on correlation?)
    • Evolution in time of words more associated with tax authority
  • Investigate the effects of interaction between Users and Tax Authority

    • How the reaction of users to interaction has evolved over time (any pattern?)
    • Is it possible to identify if a particular style of interaction has better outcomes?
    • Are there concepts more prone to backfire?

Thank You!





Questions?