Is it all talk: Do politicians that promote environmental messages on social media actually vote-in environmental policy?

Abstract

Government policies are key to combating climate change and biodiversity loss. Here, we examine whether environmental messages on Twitter by UK politicians can be used to predict the probability of politicians voting-in pro-environmental policy. Using historical Twitter data and voting records, we determine that the number of tweets by UK politicians regarding environmental subjects has increased over the last decade, although this is not consistent across all parties. The probability of voting environmentally has not increased, instead, voting trends are highly heterogeneous over time, varying by political party. This suggests that there is little association between politicians that promote environmental messages on social media and the odds of them voting-in environmental policy. However, in some cases, politicians do deviate from political party lines, and so we assessed whether politicians that posted more environmental messages were more likely to break party lines and vote-in environmental measures. We found evidence that, after accounting for party, politicians who tweet more frequently about environmental subjects are more likely to vote against party lines in favour of environmental measures. This work suggests that politicians’ that post more environmental messages are more likely to support pro-environmental policy, but this signal is low relative to the predominant driver—political party association.

Article highlights

•	Environmental tweeting by UK MPs has increased over the past decade but environmental voting has not.
•	Party lines account for much of the variation in environmental vote patterns.
•	Political association is a stronger predictor of vote intentions than whether an MP tweets about environmental issues.

Keywords

Twitter / Politicians / Environment / Messaging / Communication / Vote

References

[1] Aharony N. Twitter use by three political leaders: an exploratory analysis. Online Inf Rev, 2012, 36: 587-603

[2] Allcott H, Gentzkow M. Social media and fake news in the 2016 election. J Econ Perspect, 2017, 31: 211-236

[3] Alrababa’H A, Marble W, Mousa S, Siegel A. Can exposure to celebrities reduce prejudice? The effect of Mohamed Salah on islamophobic behaviors and attitudes. Am Polit Sci Rev, 2021, 115: 1-18

[4] Berenguer J, Corraliza J, Martín R. Rural–urban differences in environmental concern, attitudes, and actions. Eur J Psychol Assess, 2006, 21: 2151-2426

[5] Bosch T. Twitter activism and youth in South Africa: the case of #RhodesMustFall. Inf Commun Soc, 2017, 20: 221-232

[6] Brandenburg H. Political bias in the Irish Media: a quantitative study of campaign coverage during the 2002 general election. Irish Polit Stud, 2005, 20: 297-322

[7] Brandenburg H. Party strategy and media bias: a quantitative analysis of the 2005 UK Election Campaign. J Elect Public Opin Parties, 2006, 16: 157-178

[8] Buccoliero L, Bellio E, Crestini G, Arkoudas A. Twitter and politics: evidence from the US presidential elections 2016. J Mark Commun, 2020, 26: 88-114

[9] Carter N. The politics of climate change in the UK. Wiley Interdiscip Rev Clim Change, 2014, 5: 423-433

[10] Carter N, Clements B. From “greenest government ever” to “get rid of all the green crap”: David Cameron, the Conservatives and the environment. Br Polit, 2015, 10: 204-225

[11] Collins Dictionaries (2018) Environmental [WWW Document]. Collins Dictionary. https://www.collinsdictionary.com/. Accessed on 2018

[12] Convention on Biological Diversity (2020) Convention on biological diversity [WWW Document]. https://www.cbd.int/. Accessed on 2020

[13] Davidson K, Briggs J, Nolan E, Bush J, Håkansson I, Moloney S. The making of a climate emergency response: examining the attributes of climate emergency plans. Urban Clim, 2020, 33: 100666

[14] DiGrazia J, McKelvey K, Bollen J, Rojas F. More tweets, more votes: social media as a quantitative indicator of political behavior. PLoS ONE, 2013, 8: 1-5

[15] Duncan P, Watts J (2019) How the Guardian scored each MP’s climate record. The Guardian

[16] Duncan P, Voce A, Watts J, Hulley-Jones F, McMullan L (2019) Guardian climate score: how did your MP do? The Guardian

[17] Enli G. Twitter as arena for the authentic outsider: exploring the social media campaigns of Trump and Clinton in the 2016 US presidential election. Eur J Commun, 2017, 32: 50-61

[18] Enli G, Rosenberg L. Trust in the age of social media: populist politicians seem more authentic. Soc Media Soc, 2018, 4: 205630511876443

[19] Feinerer I, Hornik K (2020) tm: text mining package [WWW Document]. https://cran.r-project.org/package=tm. Accessed on 2020

[20] Feinerer I, Hornik K, Meyer D. Text mining infrastructure in R. J Stat Softw, 2008, 25: 1-54

[21] Frame A, Brachotte G. Le tweet stratégique: use of Twitter as a PR tool by French politicians. Public Relat Rev, 2015, 41: 278-287

[22] Franzen A, Vogl D. Two decades of measuring environmental attitudes: a comparative analysis of 33 countries. Glob Environ Change, 2013, 23: 1001-1008

[23] Gayo-Avello D. No, you cannot predict elections with twitter. IEEE Internet Comput, 2012, 16: 91-94

[24] Gifford R, Nilsson A. Personal and social factors that influence pro-environmental concern and behaviour: a review. Int J Psychol, 2014, 49: 141-157

[25] Golbeck J, Grimes J, Rogers A. Twitter use by the U.S. Congress Jennifer. J Am Soc Inform Sci Technol, 2010, 61: 1612-1621

[26] Graham T, Broersma M, Hazelhoff K, ’t Haar, G. van. Between broadcasting political messages and interacting with voters: the use of Twitter during the 2010 UK general election campaign. Inf Commun Soc, 2013, 16: 692-716

[27] Grant W, Moon B, Grant J. Digital dialogue? Australian politicians’ use of the social network tool twitter. Aust J Polit Sci, 2010, 45: 579-604

[28] Ince J, Rojas F, Davis C. The social media response to Black Lives Matter: how Twitter users interact with Black Lives Matter through hashtag use. Ethn Racial Stud, 2017, 40: 1814-1830

[29] IPBES Summary for policymakers of the global assessment report on biodiversity and ecosystem services of the Intergovernmental Science-Policy Platform on Biodiversity and Ecosystem Services, 2019 Bonn IPBES

[30] IPCC (2018) Summary for policymakers. In: Global warming of 1.5 °C. An IPCC Special Report on the impacts of global warming of 1.5 °C above pre-industrial levels and related global greenhouse gas emission pathways, in the context of strengthening the global response to. Geneva

[31] IPSOS Earth Day 2020—how do Great Britain and the world view climate change and Covid-19?, 2020 Geneva IPSOS

[32] Johnson T, Kent H, Hill B, Dunn G, Dommett L, Penwill N classecol: classifiers to understand public opinions of nature. Methods Ecol Evol, 2021, 12: 1-13

[33] Kearney M. rtweet: collecting and analyzing Twitter data. J Open Source Softw, 2019, 4: 1829

[34] Kruikemeier S. How political candidates use Twitter and the impact on votes. Comput Hum Behav, 2014, 34: 131-139

[35] Legagneux P, Casajus N, Cazelles K, Chevallier C, Chevrinais M, Guéry L Our house is burning: discrepancy in climate change versus biodiversity coverage in the media as compared to scientific literature. Front Ecol Evol, 2018, 5: 1-6

[36] Lo A, Chow A. The relationship between climate change concern and national wealth. Clim Change, 2015, 131: 335-348

[37] McCrea R, Leviston Z, Walker I. Climate change skepticism and voting behavior: what causes what?. Environ Behav, 2016, 48: 1309-1334

[38] McGill B, Dornelas M, Gotelli N, Magurran A. Fifteen forms of biodiversity trend in the anthropocene. Trends Ecol Evol, 2015, 30: 104-113

[39] National Records of Scotland (2020) Population estimates by urban rural classification (2011 data zone based) [WWW Document]. https://www.nrscotland.gov.uk/statistics-and-data/statistics/statistics-by-theme/population/population-estimates/2011-based-special-area-population-estimates/population-estimates-by-urban-rural-classification. Accessed on 2020

[40] Newbold T, Hudson L, Hill S, Contu S, Lysenko I, Senior R Global effects of land use on local terrestrial biodiversity. Nature, 2015, 520: 45-50

[41] Northern Ireland Statistics And Research Agency (2019) 2018 Mid year population estimates for Northern Ireland [WWW Document]. https://www.nisra.gov.uk/publications/2018-mid-year-population-estimates-northern-ireland. Accessed on 2019

[42] Office for National Statistics (2019) Employee earnings in the UK: 2019 [WWW Document]. https://www.ons.gov.uk/aboutus/transparencyandgovernance/freedomofinformationfoi/depressionintheuk. Accessed on 2019

[43] Office for National Statistics (2020) Parliamentary constituency population estimates (Experimental Statistics) [WWW Document]. https://www.ons.gov.uk/peoplepopulationandcommunity/populationandmigration/populationestimates/datasets/parliamentaryconstituencymidyearpopulationestimates. Accessed on 2020

[44] Pidgeon N. Public understanding of, and attitudes to, climate change: UK and international perspectives and policy. Climate Policy, 2012, 12: S85-S106

[45] R Core Team (2020) R: a language and environment for statistical computing. R Foundation for Statistical Computing, Vienna [WWW Document]. R Foundation for Statistical Computing. https://www.r-project.org/. Accessed on 2020

[46] Ripple W, Wolf C, Newsome T, Barnard P, Moomaw W. World scientists’ warning of a climate emergency. Bioscience, 2020, 70: 8-12

[47] Roberge J. Using data from online social networks in conservation science: which species engage people the most on Twitter?. Biodivers Conserv, 2014, 23: 715-726

[48] Ross A, Caldwell D. ‘Going negative’: an APPRAISAL analysis of the rhetoric of Donald Trump on Twitter. Lang Commun, 2020, 70: 13-27

[49] Sala O, Chapin F, Armesto J, Berlow E, Bloomfield J, Dirzo R Global biodiversity scenarios for the year 2100. Science, 2000, 287: 1770-1774

[50] Schloerke B, Crowley J, Cook D, Briatte F, Marbach M, Thoen E et al (2020) GGally: extension to ‘ggplot2’. R package version 1.4.0. [WWW Document]

[51] Schmeller D, Henry P, Julliard R, Gruber B, Clobert J, Dziock F Advantages of volunteer-based biodiversity monitoring in Europe. Conserv Biol, 2009, 23: 307-316

[52] Stein J, Buck M, Bjørnå H. The centre–periphery dimension and trust in politicians: the case of Norway. Territory, Politics, Governance, 2021, 9: 37-55

[53] Tumasjan A, Sprenger T, Sandner P, Welpe I (2010) Predicting elections with Twitter: what 140 characters reveal about political sentiment. In: ICWSM 2010—proceedings of the 4th international AAAI conference on weblogs and social media, pp 178–185

[54] UK-Parliament (2019) “The most important issue of our time,” Opposition calls to declare climate emergency [WWW Document]. https://www.parliament.uk/business/news/2019/may/mps-debate-the-environment-and-climate-change/. Accessed on 2019

[55] UNFCCC (2015) Paris Agreement [WWW Document]. https://unfccc.int/process-and-meetings/the-paris-agreement/the-paris-agreement. Accessed on 2015

[56] Willumsen D, Öhberg P. Toe the line, break the whip: explaining floor dissent in parliamentary democracies. West Eur Polit, 2017, 40: 688-716

[57] zu Ermgassen S, Bull J, Groom B. UK biodiversity: close gap between reality and rhetoric. Nature, 2021, 595: 172

Funding

Natural Environment Research Council(J71566E)