[
Adaval, R., Saluja, G., & Jiang, Y. (2019). Seeing and thinking in pictures: A review of visual information processing. Consumer Psychology Review, 2(1), 50–69.10.1002/arcp.1049
]Search in Google Scholar
[
Aiyar, Y., & Tillin, L. (2020). “One nation,” BJP, and the future of Indian federalism. India Review, 19(2), 117–135.10.1080/14736489.2020.1744994
]Search in Google Scholar
[
Alsamydai, M. J., & Al Khasawneh, M. H. (2013). Basic criteria for the success of the electoral candidates and their influence on voters’ selection decision. Advances in Management and Applied Economics, 3(3), 105–127.
]Search in Google Scholar
[
Anderson, B., Bird, G., Kornrumpf, R., Macaluso, M., Mundkur, N., Swingholm, M., & Gainous, J. (2020). Ethnic cues, Latino skin tone, and voter preferences: An experimental test. Social Science Quarterly, 101(5), 1920–1935.10.1111/ssqu.12845
]Search in Google Scholar
[
Anderson, R. C., & Klofstad, C. A. (2012). Preference for leaders with masculine voices holds in the case of feminine leadership roles. PloS One, 7(12), e5121610.1371/journal.pone.0051216
]Search in Google Scholar
[
Antonakis, J., & Dalgas, O. (2009). Predicting elections: Child’s play! Science, 323(5918), 1183–1183.10.1126/science.1167748
]Search in Google Scholar
[
Antonakis, J., & Eubanks, D. L. (2017). Looking leadership in the face. Current Directions in Psychological Science, 26(3), 270–275.10.1177/0963721417705888
]Search in Google Scholar
[
Antonakaki, D., Spiliotopoulos, D., V. Samaras, C., Pratikakis, P., Ioannidis, S., & Fragopoulou, P. (2017). Social media analysis during political turbulence. PloS One, 12, e0186836.10.1371/journal.pone.0186836
]Search in Google Scholar
[
Atkinson, M. D., Enos, R. D., & Hill, S. J. (2009). Candidate faces and election outcomes: Is the face-vote correlation caused by candidate selection? Quarterly Journal of Political Science, 4, 229–249.10.1561/100.00008062
]Search in Google Scholar
[
Aung, T., & Puts, D. (2020). Voice pitch: A window into the communication of social power. Current Opinion in Psychology, 33, 154–161.10.1016/j.copsyc.2019.07.028
]Search in Google Scholar
[
Awh, E., Belopolsky, A. V., & Theeuwes, J. (2012). Top-down versus bottom-up attentional control: A failed theoretical dichotomy. Trends in Cognitive Sciences, 16(8), 437–443.10.1016/j.tics.2012.06.010
]Search in Google Scholar
[
Ballew, C. C., & Todorov, A. (2007). Predicting political elections from rapid and unreflective face judgments. Proceedings of the National Academy of Sciences, 104(46), 17948–17953.10.1073/pnas.0705435104
]Search in Google Scholar
[
Banai, I. P., Banai, B., & Bovan, K. (2017). Vocal characteristics of presidential candidates can predict the outcome of actual elections. Evolution and Human Behavior, 38(3), 309–314.10.1016/j.evolhumbehav.2016.10.012
]Search in Google Scholar
[
Banducci, S. A., Karp, J. A., Thrasher, M., & Rallings, C. (2008). Ballot photographs as cues in low-information elections. Political Psychology, 29(6), 903–917.10.1111/j.1467-9221.2008.00672.x
]Search in Google Scholar
[
Bermingham, A., & Smeaton, A. (2011). On using Twitter to monitor political sentiment and predict election results. In Proceedings of the Workshop on Sentiment Analysis where AI meets Psychology (SAAIP 2011) (pp. 2–10).
]Search in Google Scholar
[
Bharatiya Janata Party, B. J. P. (2019). BJP election manifesto 2019. http://library.bjp.org/jspui/handle/123456789/2988
]Search in Google Scholar
[
Blumenfeld, H. K., & Adams, A. M. (2014). Learning and processing of nonverbal symbolic information in bilinguals and monolinguals. Frontiers in Psychology, 5, 1147.10.3389/fpsyg.2014.01147
]Search in Google Scholar
[
Boen, F., & Vanbeselaere, N. (2002). The impact of election outcome on the display of political posters: A field study during communal elections in Flanders. Political Psychology, 23(2), 385–391.10.1111/0162-895X.00286
]Search in Google Scholar
[
Boen, F., Vanbeselaere, N., Pandelaere, M., Dewitte, S., Duriez, B., Snauwaert, B., ... & Van Avermaet, E. (2002). Politics and basking-in-reflected-glory: A field study in Flanders. Basic and Applied Social Psychology, 24(3), 205–214.10.1207/S15324834BASP2403_3
]Search in Google Scholar
[
Brooks, D. J. (2011). Testing the double standard for candidate emotionality: Voter reactions to the tears and anger of male and female politicians. The Journal of Politics, 73(2), 597–615.10.1017/S0022381611000053
]Search in Google Scholar
[
Brysbaert, M., Speybroeck, S., & Vanderelst, D. (2009). Is there room for the BBC in the mental lexicon? On the recognition of acronyms. Quarterly Journal of Experimental Psychology, 62(9), 1832–1842.10.1080/17470210802585471
]Search in Google Scholar
[
Budge, I., Klingemann, H. D., Volkens, A., Bara, J., & Tanenbaum, E. (2001). Mapping policy preferences: estimates for parties, electors, and governments, 1945-1998 (Vol. 1). Oxford University Press on Demand.10.1093/oso/9780199244003.001.0001
]Search in Google Scholar
[
Campbell, A., Converse, P. E., Miller, W. E., & Stokes, D. E. (1960). The American voter. University Of Chicago Press.
]Search in Google Scholar
[
Ceron, A., Curini, L., Iacus, S. M., & Porro, G. (2014). Every tweet counts? How sentiment analysis of social media can improve our knowledge of citizens’ political preferences with an application to Italy and France. New Media & Society, 16(2), 340–358.10.1177/1461444813480466
]Search in Google Scholar
[
Chaudhary, M. U., Ghani, A., Hussain, T., Minhas, S., & Iftikhar, U. (2021). Use of social media in electoral process during general elections 2018 in Punjab, Pakistan. Multicultural Education, 7(7), 588–596.
]Search in Google Scholar
[
Chen, F. F., Jing, Y., & Lee, J. M. (2014). The looks of a leader: Competent and trustworthy, but not dominant. Journal of Experimental Social Psychology, 51, 27–33.10.1016/j.jesp.2013.10.008
]Search in Google Scholar
[
Childers, T. L., & Houston, M. J. (1984). Conditions for a picture-superiority effect on consumer memory. Journal of Consumer Research, 11(2), 643–654.10.1086/209001
]Search in Google Scholar
[
Chittka, L., Skorupski, P., & Raine, N. E. (2009). Speed–accuracy trade-offs in animal decision making. Trends in Ecology & Evolution, 24(7), 400–407.10.1016/j.tree.2009.02.010
]Search in Google Scholar
[
Cialdini, R. B., Borden, R. J., Thorne, A., Walker, M. R., Freeman, S., & Sloan, L. R. (1976). Basking in reflected glory: Three (football) field studies. Journal of Personality and Social Psychology, 34(3), 366–375.10.1037/0022-3514.34.3.366
]Search in Google Scholar
[
Colladon, A. F. (2020). Forecasting election results by studying brand importance in online news. International Journal of Forecasting, 36(2), 414–427.10.1016/j.ijforecast.2019.05.013
]Search in Google Scholar
[
Collina, S., Tabossi, P., & De Simone, F. (2013). Word production and the picture-word interference paradigm: The role of learning. Journal of Psycholinguistic Research, 42(5), 461–473.10.1007/s10936-012-9229-z
]Search in Google Scholar
[
Coltheart, M., Rastle, K., Perry, C., Langdon, R., & Ziegler, J. (2001). DRC: A dual route cascaded model of visual word recognition and reading aloud. Psychological Review, 108(1), 204–256.10.1037/0033-295X.108.1.204
]Search in Google Scholar
[
Costa, A., Mahon, B., Savova, V., & Caramazza, A. (2003). Level of categorization effect: A novel effect in the picture-word interference paradigm. Language and Cognitive Processes, 18, 205–233.10.1080/01690960143000524
]Search in Google Scholar
[
Crystal, D. (2008). Txtng: The gr8 db8. Oxford University Press.
]Search in Google Scholar
[
Dahlberg, S., & Harteveld, E. (2016). Left-right ideology as an inferential device in multiparty systems: Can citizens overcome low information by imputing parties’ policy positions? Electoral Studies, 42, 175–187.10.1016/j.electstud.2016.02.016
]Search in Google Scholar
[
Dalton, R. J., & Klingemann, H. D. (2007). Citizens and political behaviour. In R. J. Dalton, & H. D. Klingemann (Eds.), The Oxford handbook of political behaviour (pp. 3–29). Oxford University Press.10.1093/oxfordhb/9780199270125.001.0001
]Search in Google Scholar
[
Erisen, C., Redlawsk, D. P., & Erisen, E. (2018). Complex thinking as a result of incongruent information exposure. American Politics Research, 46(2), 217–245.10.1177/1532673X17725864
]Search in Google Scholar
[
Eskey, D. E. (2005). Reading in a second language. In E. Hinkel (Eds.), Handbook of research in second language teaching and learning (pp. 587–604). Routledge.10.4324/9781410612700-43
]Search in Google Scholar
[
Fredén, A., & Sikström, S. (2021). Reevaluating the influence of leaders under proportional representation: Quantitative analysis of text in an electoral experiment. Frontiers in Psychology, 12, 1657.10.3389/fpsyg.2021.604135
]Search in Google Scholar
[
Gabriel, O. W., Kerrouche, E., & Schüttemeyer, S. S. (Eds.). (2018). Political representation in France and Germany: Attitudes and activities of citizens and MPs. Springer.10.1007/978-3-319-72029-6
]Search in Google Scholar
[
Gayo-Avello, D. (2013). A meta-analysis of state-of-the-art electoral prediction from Twitter data. Social Science Computer Review, 31(6), 649–679.10.1177/0894439313493979
]Search in Google Scholar
[
Geertz, A. W. (2010). Too much mind and not enough brain, body and culture: On what needs to be done in the cognitive science of religion. Historia Religionum, 2(2), 21–37.
]Search in Google Scholar
[
Gilbert, M. (2006). A theory of political obligation: Membership, commitment, and the bonds of society. Oxford University Press on Demand.10.1093/0199274959.001.0001
]Search in Google Scholar
[
Gottfried, J. A., & Dolan, R. J. (2003). The nose smells what the eye sees: Crossmodal visual facilitation of human olfactory perception. Neuron, 39(2), 375–386.10.1016/S0896-6273(03)00392-1
]Search in Google Scholar
[
Grainger, J., & Holcomb, P. J. (2009). Watching the word go by: On the time-course of component processes in visual word recognition. Language and Linguistics Compass, 3(1), 128–156.10.1111/j.1749-818X.2008.00121.x
]Search in Google Scholar
[
Gregory Jr, S. W., & Gallagher, T. J. (2002). Spectral analysis of candidates’ nonverbal vocal communication: Predicting US presidential election outcomes. Social Psychology Quarterly, 65(3), 298–308.10.2307/3090125
]Search in Google Scholar
[
Hansen, T. B., & Jaffrelot, C. (1998). Introduction: The BJP after the 1996 elections. In C. Jaffrelot (Ed.)., The BJP and the Compulsions of Politics in India (pp. 1–21). Oxford University Press.
]Search in Google Scholar
[
Harm, M. W., & Seidenberg, M. S. (2004). Computing the meanings of words in reading: Cooperative division of labour between visual and phonological processes. Psychological Review, 111(3), 662–720.10.1037/0033-295X.111.3.662
]Search in Google Scholar
[
Hassin, R., & Trope, Y. (2000). Facing faces: Studies on the cognitive aspects of physiognomy. Journal of Personality and Social Psychology, 78(5), 837–852.10.1037/0022-3514.78.5.837
]Search in Google Scholar
[
Healey, M. K., Hasher, L., & Campbell, K. L. (2013). The role of suppression in resolving interference: Evidence for an age-related deficit. Psychology and Ageing, 28(3), 721–728.10.1037/a0033003
]Search in Google Scholar
[
Heath, O. (2020). Communal realignment and support for the BJP, 2009–2019. Contemporary South Asia, 28(2), 195–208.10.1080/09584935.2020.1765986
]Search in Google Scholar
[
Heitz, R. P. (2014). The speed-accuracy trade-off: history, physiology, methodology, and behavior. Frontiers in Neuroscience, 8, 150.10.3389/fnins.2014.00150
]Search in Google Scholar
[
Höltje, G., Lubahn, B., & Mecklinger, A. (2019). The congruent, the incongruent, and the unexpected: Event-related potentials unveil the processes involved in schematic encoding. Neuropsychologia, 131, 285–293.10.1016/j.neuropsychologia.2019.05.013
]Search in Google Scholar
[
Hyde, S. D. (2015). Experiments in international relations: Lab, survey, and field. Annual Review of Political Science, 18, 403–424.10.1146/annurev-polisci-020614-094854
]Search in Google Scholar
[
Indian Council of Medical Research, I.C.M.R. (2017). ICMR guidelines 2017. https://main.icmr.nic.in/sites/default/files/guidelines/ICMR_Ethical_Guidelines_2017.pdf
]Search in Google Scholar
[
Indian National Congress, I.N.C. (2019). INC Election manifesto 2019. https://manifesto.inc.in/en/
]Search in Google Scholar
[
Izura, C., & Playfoot, D. (2012). A normative study of acronyms and acronym naming. Behaviour Research Methods, 44(3), 862–889.10.3758/s13428-011-0175-8
]Search in Google Scholar
[
Jolij, J., & Meurs, M. (2011). Music alters visual perception. PLoS One, 6(4), e18861.10.1371/journal.pone.0018861
]Search in Google Scholar
[
Jordan, K. N., Pennebaker, J. W., & Ehrig, C. (2018). The 2016 US presidential candidates and how people tweeted about them. SAGE Open, 8(3), 2158244018791218.10.1177/2158244018791218
]Search in Google Scholar
[
Judd, C. M., James-Hawkins, L., Yzerbyt, V., & Kashima, Y. (2005). Fundamental dimensions of social judgment: Understanding the relations between judgments of competence and warmth. Journal of Personality and Social Psychology, 89, 899–913.10.1037/0022-3514.89.6.899
]Search in Google Scholar
[
Kahneman, D. (2011). Thinking, fast and slow. Farrar, Straus, and Giroux.
]Search in Google Scholar
[
Kauschke, C., Bahn, D., Vesker, M., & Schwarzer, G. (2019). The role of emotional valence for the processing of facial and verbal stimuli–positivity or negativity bias? Frontiers in Psychology, 10, 1654.10.3389/fpsyg.2019.01654
]Search in Google Scholar
[
Kintsch, W. (2000). Metaphor comprehension: A computational theory. Psychonomic Bulletin & Review, 7(2), 257–266.10.3758/BF03212981
]Search in Google Scholar
[
Klofstad, C. A. (2017). Looks and sounds like a winner: Perceptions of competence in candidates’ faces and voices influences vote choice. Journal of Experimental Political Science, 4(3), 229–240.10.1017/XPS.2017.19
]Search in Google Scholar
[
Klofstad, C. A., Anderson, R. C., & Nowicki, S. (2015). Perceptions of competence, strength, and age influence voters to select leaders with lower-pitched voices. PloS One, 10(8), e0133779.10.1371/journal.pone.0133779
]Search in Google Scholar
[
Klofstad, C. A., Anderson, R. C., & Peters, S. (2012). Sounds like a winner: voice pitch influences the perception of leadership capacity in both men and women. Proceedings of the Royal Society B: Biological Sciences, 279(1738), 2698–2704.10.1098/rspb.2012.0311
]Search in Google Scholar
[
Konijn, E. A., & Hoorn, J. F. (2005). Some like it bad: Testing a model for perceiving and experiencing fictional characters. Media Psychology, 7(2), 107–144.10.1207/S1532785XMEP0702_1
]Search in Google Scholar
[
Krouwel, A. (2012). Party transformations in European democracies. State University of New York Press.10.1353/book20584
]Search in Google Scholar
[
Laszlo, S., & Federmeier, K. D. (2007). The acronym superiority effect. Psychonomic Bulletin & Review, 14(6), 1158–1163.10.3758/BF03193106
]Search in Google Scholar
[
Lau, R. R., & Redlawsk, D. P. (2008). Older but wiser? Effects of age on political cognition. The Journal of Politics, 70(1), 168–185.10.1017/S0022381607080127
]Search in Google Scholar
[
Laustsen, L. (2017). Choosing the right candidate: Observational and experimental evidence that conservatives and liberals prefer powerful and warm candidate personalities, respectively. Political Behavior, 39(4), 883–908.10.1007/s11109-016-9384-2
]Search in Google Scholar
[
Laustsen, L., & Petersen, M. B. (2018). When the party decides: The effects of facial competence and dominance on internal nominations of political candidates. Evolutionary Psychology, 16(2), 1474704917732005.10.1177/1474704917732005
]Search in Google Scholar
[
Laustsen, L., Petersen, M. B., & Klofstad, C. A. (2015). Vote choice, ideology, and social dominance orientation influence preferences for lower pitched voices in political candidates. Evolutionary Psychology, 13(3), 1474704915600576.10.1177/1474704915600576
]Search in Google Scholar
[
Lenz, G. S., & Lawson, C. (2011). Looking the part: Television leads less informed citizens to vote based on candidates’ appearance. American Journal of Political Science, 55(3), 574–589.10.1111/j.1540-5907.2011.00511.x
]Search in Google Scholar
[
Liu, R., Yao, X., Guo, C., & Wei, X. (2021). Can we forecast presidential election using twitter data? An integrative modelling approach. Annals of GIS, 27(1), 43–56.10.1080/19475683.2020.1829704
]Search in Google Scholar
[
Lodge, M., & Taber, C. S. (2005). The automaticity of affect for political leaders, groups, and issues: An experimental test of the hot cognition hypothesis. Political Psychology, 26(3), 455–482.10.1111/j.1467-9221.2005.00426.x
]Search in Google Scholar
[
Lodge, M., & Taber, C. S. (2013). The rationalizing voter. Cambridge University Press.10.1017/CBO9781139032490
]Search in Google Scholar
[
Lodge, M., Taber, C., & Verhulst, B. (2011). Conscious and unconscious information processing with implications for experimental political science. In J. N. Druckman, D. P. Greene, J. H. Kuklinski, & A. Lupia (Eds.), Cambridge handbook of experimental political science (pp. 155–170). Cambridge University Press.10.1017/CBO9780511921452.011
]Search in Google Scholar
[
Louwerse, M. M. (2011). Symbol interdependency in symbolic and embodied cognition. Topics in Cognitive Science, 3(2), 273–302.10.1111/j.1756-8765.2010.01106.x
]Search in Google Scholar
[
Louwerse, M., & Connell, L. (2011). A taste of words: Linguistic context and perceptual simulation predict the modality of words. Cognitive Science, 35(2), 381–398.10.1111/j.1551-6709.2010.01157.x
]Search in Google Scholar
[
Louwerse, M., Cai, Z., Hu, X., Ventura, M., & Jeuniaux, P. (2006). Cognitively inspired NLP-based knowledge representations: Further explorations of Latent Semantic Analysis. International Journal on Artificial Intelligence Tools, 15(6), 1021–1039.10.1142/S0218213006003090
]Search in Google Scholar
[
Louwerse, M. M., & Jeuniaux, P. (2010). The linguistic and embodied nature of conceptual processing. Cognition, 114(1), 96–104.10.1016/j.cognition.2009.09.002
]Search in Google Scholar
[
Malande, M. J. O. (2018). A linguistic study of Kenyan political party names, symbols, colors and slogans [Doctoral dissertation, Kenyatta University].
]Search in Google Scholar
[
Malande, M., & Masiolo, H. (2013). Juggling words, terms and idioms to advance political agenda in Kenya, Uganda and Tanzania: profiling the electioneering and referendum discourse. International Journal of Language and Literature, 1(1), 6–14.
]Search in Google Scholar
[
Mattes, K., Spezio, M., Kim, H., Todorov, A., Adolphs, R., & Alvarez, R. M. (2010). Predicting election outcomes from positive and negative trait assessments of candidate images. Political Psychology, 31(1), 41–58.10.1111/j.1467-9221.2009.00745.x
]Search in Google Scholar
[
Meffert, M. F., & Gschwend, T. (2011). Polls, coalition signals and strategic voting: An experimental investigation of perceptions and effects. European Journal of Political Research, 50(5), 636–667.10.1111/j.1475-6765.2010.01986.x
]Search in Google Scholar
[
Ménétré, E., & Laganaro, M. (2019). Attentional reorientation and inhibition adjustment in a verbal Stroop task: A lifespan approach to interference and sequential congruency effect. Frontiers in Psychology, 10, 2028.10.3389/fpsyg.2019.02028
]Search in Google Scholar
[
Müller, G. E., & Pilzecker, A. (1900). Experimentelle beiträge zur lehre vom gedächtniss (Vol. 1). JA Barth.
]Search in Google Scholar
[
O’Connor, J. J., & Barclay, P. (2017). The influence of voice pitch on perceptions of trustworthiness across social contexts. Evolution and human behavior, 38(4), 506–512.10.1016/j.evolhumbehav.2017.03.001
]Search in Google Scholar
[
Olivola, C. Y., & Todorov, A. (2010). Elected in 100 milliseconds: Appearance-based trait inferences and voting. Journal of Nonverbal Behaviour, 34(2), 83–110.10.1007/s10919-009-0082-1
]Search in Google Scholar
[
Pankratz, E., Yadav, H., Smith, G., & Vasishth, S. (2021, February 23). Statistical properties of the speed-accuracy trade-off (SAT) paradigm in sentence processing. PsyArXiv, https://psyarxiv.com/puqkv/10.31234/osf.io/puqkv
]Search in Google Scholar
[
Peleg, O., Degani, T., Raziq, M., & Taha, N. (2019). Cross-lingual phonological effects in different-script bilingual visual-word recognition. Second Language Research, 0267658319827052.10.1177/0267658319827052
]Search in Google Scholar
[
Playfoot, D., & Izura, C. (2015). Spelling-to-sound correspondences affect acronym recognition processes. Quarterly Journal of Experimental Psychology, 68(5), 1026–1039.10.1080/17470218.2014.977304
]Search in Google Scholar
[
Read, S. J., & Miller, L. C. (1998). On the dynamic construction of meaning: An interactive activation and competition model of social perception. In S. J. Read & L. C. Miller (Eds.), Connectionist models of social reasoning and social behavior (pp. 27–68). Lawrence Erlbaum Associates Publishers.
]Search in Google Scholar
[
Redlawsk, D. P. (2002). Hot cognition or cool consideration? Testing the effects of motivated reasoning on political decision making. The Journal of Politics, 64(4), 1021–1044.10.1111/1468-2508.00161
]Search in Google Scholar
[
Redlawsk, D. P. (2006). Motivated reasoning, affect, and the role of memory in voter decision making. In D. P. Redlawsk (Ed.), Feeling politics (pp. 87–107). Palgrave Macmillan.10.1057/9781403983114_6
]Search in Google Scholar
[
Redlawsk, D. P., Civettini, A. J., & Emmerson, K. M. (2010). The affective tipping point: Do motivated reasoners ever “get it”? Political Psychology, 31(4), 563–593.10.1111/j.1467-9221.2010.00772.x
]Search in Google Scholar
[
Schildkraut, D. J. (2004). All politics is psychological: A review of political psychology syllabi. Perspectives on Politics, 2(4), 807–81910.1017/S1537592704040575
]Search in Google Scholar
[
Schirmer, A., & Kotz, S. A. (2003). ERP evidence for a sex-specific Stroop effect in an emotional speech. Journal of Cognitive Neuroscience, 15(8), 1135–1148.10.1162/089892903322598102
]Search in Google Scholar
[
Schreiber, D. (2017). Neuropolitics: Twenty years later. Politics and the Life Sciences, 36(2), 114–131.10.1017/pls.2017.25
]Search in Google Scholar
[
Simon, D., Krawczyk, D. C., & Holyoak, K. J. (2004). Construction of preferences by constraint satisfaction. Psychological Science, 15(5),331–336.10.1111/j.0956-7976.2004.00678.x
]Search in Google Scholar
[
Singh, S. P., & Roy, J. (2014). Political knowledge, the decision calculus, and proximity voting. Electoral Studies, 34, 89–99.10.1016/j.electstud.2013.11.007
]Search in Google Scholar
[
Sircar, N. (2020). The politics of Vishwas: political mobilization in the 2019 national election. Contemporary South Asia, 28, 1–17.10.1080/09584935.2020.1765988
]Search in Google Scholar
[
Slattery, T. J., Pollatsek, A., & Rayner, K. (2006). The time course of phonological and orthographic processing of acronyms in reading: Evidence from eye movements. Psychonomic Bulletin & Review, 13(3), 412–417.10.3758/BF03193862
]Search in Google Scholar
[
Smith, E. R., & DeCoster, J. (2000). Dual-process models in social and cognitive psychology: Conceptual integration and links to underlying memory systems. Personality and Social Psychology Review, 4(2), 108–131.10.1207/S15327957PSPR0402_01
]Search in Google Scholar
[
Smith, J. W., & Tharp, A. L. (1979). A top-down language analyzer. International Journal of Man-Machine Studies, 11(3), 325–338.10.1016/S0020-7373(79)80028-0
]Search in Google Scholar
[
Smith, K. B., & Warren, C. (2020). Physiology predicts ideology. Or does it? The current state of political psychophysiology research. Current Opinion in Behavioral Sciences, 34, 88–93.10.1016/j.cobeha.2020.01.001
]Search in Google Scholar
[
Steffens, N. K., & Haslam, S. A. (2013). Power through ‘us’: Leaders’ use of we-referencing language predicts election victory. PloS One, 8(10), e77952.10.1371/journal.pone.0077952
]Search in Google Scholar
[
Stroop, J. R. (1935). Studies of interference in serial verbal reactions. Journal of Experimental Psychology, 18(6), 643–662.10.1037/h0054651
]Search in Google Scholar
[
Sussman, A. B., Petkova, K., & Todorov, A. (2013). Competence ratings in US predict presidential election outcomes in Bulgaria. Journal of Experimental Social Psychology, 49(4), 771–775.10.1016/j.jesp.2013.02.003
]Search in Google Scholar
[
Taber, C. S., & Lodge, M. (2012). Motivated skepticism in the evaluation of political beliefs (2006). Critical Review, 24(2), 157–184.10.1080/08913811.2012.711019
]Search in Google Scholar
[
Taber, C. S., Lodge, M., & Glathar, J. (2001). The motivated construction of political judgments. In J. H. Kuklinski (Ed.), Citizens and politics: Perspectives from political psychology (pp. 198–226). Cambridge University Press.10.1017/CBO9780511896941.010
]Search in Google Scholar
[
Taber, C. S., & Young, E. (2013). Political information processing. In L. Huddy, D. O. Sears, & J. S. Levy (Eds.), The Oxford handbook of political psychology (pp. 525–558). Oxford University Press.10.1093/oxfordhb/9780199760107.013.0017
]Search in Google Scholar
[
Teven, J. J. (2008). An examination of perceived credibility of the 2008 presidential candidates: Relationships with believability, likeability, and deceptiveness. Human Communication, 11(4), 391–408.
]Search in Google Scholar
[
Tigue, C. C., Borak, D. J., O’Connor, J. J., Schandl, C., & Feinberg, D. R. (2012). Voice pitch influences voting behaviour. Evolution and Human Behavior, 33(3), 210–216.10.1016/j.evolhumbehav.2011.09.004
]Search in Google Scholar
[
Todorov, A., & Uleman, J. S. (2003). The efficiency of binding spontaneous trait inferences to actors’ faces. Journal of Experimental Social Psychology, 39(6), 549–562.10.1016/S0022-1031(03)00059-3
]Search in Google Scholar
[
Todorov, A., Mandisodza, A. N., Goren, A., & Hall, C. C. (2005). Inferences of competence from faces predict election outcomes. Science, 308(5728), 1623–1626.10.1126/science.1110589
]Search in Google Scholar
[
Torrens-Burton, A., Basoudan, N., Bayer, A. J., & Tales, A. (2017). Perception and reality of cognitive function: information processing speed, perceived memory function, and perceived task difficulty in older adults. Journal of Alzheimer’s Disease, 60(4), 1601–1609.10.3233/JAD-170599
]Search in Google Scholar
[
Tumasjan, A., Sprenger, T. O., Sandner, P. G., & Welpe, I. M. (2011). Election forecasts with Twitter: How 140 characters reflect the political landscape. Social Science Computer Review, 29(4), 402–418.10.1177/0894439310386557
]Search in Google Scholar
[
Vandierendonck, A. (2021). On the utility of integrated speed-accuracy measures when speed-accuracy trade-off is present. Journal of Cognition, 4(1), 22.10.5334/joc.154
]Search in Google Scholar
[
Wagner, M., Johann, D., & Kritzinger, S. (2012). Voting at 16: Turnout and the quality of vote choice. Electoral Studies, 31(2), 372–383.10.1016/j.electstud.2012.01.007
]Search in Google Scholar
[
Willis, J., & Todorov, A. (2006). First impressions: Making up your mind after a 100-ms exposure to a face. Psychological Science, 17(7), 592–598.10.1111/j.1467-9280.2006.01750.x
]Search in Google Scholar
[
Wilson, M. (2010). The re-tooled mind: how culture re-engineers cognition. Social Cognitive and Affective Neuroscience, 5(2–3), 180–187.10.1093/scan/nsp054
]Search in Google Scholar
[
Wyer Jr, R. S., Hung, I. W., & Jiang, Y. (2008). Visual and verbal processing strategies in comprehension and judgment. Journal of Consumer Psychology, 18(4), 244–257.10.1016/j.jcps.2008.09.002
]Search in Google Scholar
[
Yaqub, U., Sharma, N., Pabreja, R., Chun, S. A., Atluri, V., & Vaidya, J. (2020). Location-based sentiment analyses and visualization of Twitter election data. Digital Government: Research and Practice, 1(2), 1–19.10.1145/3339909
]Search in Google Scholar
