Cited by 434Digital Marketing and Social MediaConsumer Behavior and Marketing InfluenceMedia and Digital Communication

The DOI matches its Crossref record; 55 of the 55 references it cites were found in a registry or an index.

Does Twitter matter? The impact of microblogging word of mouth on consumers’ adoption of new movies

Open access

Hennig-Thurau, Thorsten, Wiertz, Caroline, Feldhaus, Fabian·2015·Journal of the Academy of Marketing Science

DOI 10.1007/s11747-014-0388-3

Open this paper in CoChat — free account

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

Integrity signals

Registry

Crossref · 10.1007/s11747-014-0388-3

Cites

55 of 55 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Prospect Theory: An Analysis of Decision under Risk
Kahneman, D., & Tversky, A. (1979) · Econometrica · doi:10.2307/1914185 · Cited by 48,524
Prospect theory: An analysis of decision under risk
Kahneman, D. J., & Tversky, A. (1988) · Cambridge University Press eBooks · doi:10.1017/cbo9780511609220.014 · Cited by 32,720
The WEKA data mining software: an update
Hall, M., Frank, E., Holmes, G., Pfahringer, B., Reutemann, P., & Witten, I. H. (2009) · ACM SIGKDD Explorations Newsletter · doi:10.1145/1656274.1656278 · Cited by 17,750
Organizational Information Requirements, Media Richness and Structural Design
Daft, R. L., & Lengel, R. H. (1986) · Management Science · doi:10.1287/mnsc.32.5.554 · Cited by 9,868
Opinion Mining and Sentiment Analysis
Pang, B., & Lee, L. (2008) · now publishers, Inc. eBooks · doi:10.1561/9781601981516 · Cited by 6,957
Opinion mining and sentiment analysis
Pang, B., & Lee, L. (2008) · Foundations and Trends® in Information Retrieval · doi:10.1561/1500000011 · Cited by 6,372
The Effect of Word of Mouth on Sales: Online Book Reviews
Chevalier, J. A., & Mayzlin, D. (2006) · Journal of Marketing Research · doi:10.1509/jmkr.43.3.345 · Cited by 6,003
Electronic word-of-mouth via consumer-opinion platforms: What motivates consumers to articulate themselves on the Internet?
Hennig-Thurau, T., Gwinner, K. P., Walsh, G., & Gremler, D. D. (2004) · Journal of Interactive Marketing · doi:10.1002/dir.10073 · Cited by 5,916
Self-citation
Advances in kernel methods: support vector learning
Schölkopf, B., Burges, C. J. C., & Smola, A. J. (1999) · doi:10.5555/299094 · Cited by 5,809
Fast Training of Support Vector Machines Using Sequential Minimal Optimization
Platt, J. C. (1998) · The MIT Press eBooks · doi:10.7551/mitpress/1130.003.0016 · Cited by 5,501

Show all 54 references

Research works printed but not linked: 1

Hayes, D. (2002). Tentpoles fade fast after opening ad blast. Variety Magazine, 4, 2002.

Sorted by citations

Items 201–300 of 433

How Important Is Word of Mouth? Development, Validation, and Application of a Scale
Becker, J.-M., Völckner, F., & Sattler, H. (2024) · Journal of Interactive Marketing · doi:10.1177/10949968231215362 · Cited by 21
Do all stars shine the same? Investigating the nonlinear effects of user and critic reviews on video game sales
Kraemer, T., Weiger, W. H., & Heidenreich, S. (2024) · Journal of Business Research · doi:10.1016/j.jbusres.2024.115034 · Cited by 15
Emotions in Online Content Diffusion
Yu, Y., Huang, S., Liu, Y., & Tan, Y. (2025) · Information Systems Research · doi:10.1287/isre.2022.0611 · Cited by 12
The impact of atmospherics on WOM about short life-cycle products: the case of motion pictures
Hatzithomas, L., Gkorezis, P., Zotou, A. Y., & Tsourvakas, G. (2018) · Journal of Product & Brand Management · doi:10.1108/jpbm-01-2017-1401 · Cited by 16
Automated text analyses of YouTube comments as field experiments for assessing consumer sentiment towards products and brands
Areni, C. S. (2021) · Journal of Product & Brand Management · doi:10.1108/jpbm-01-2021-3341 · Cited by 12
Producer push to consumer pull: Who curates new media content? Developing strategies for new media environments
Chipp, K., & Chakravorty, D. (2016) · Journal of Product & Brand Management · doi:10.1108/jpbm-06-2015-0918 · Cited by 12
Korean–Chinese Film Remakes in a New Age of Cultural Globalisation: Miss Granny (2014) and 20 Once Again (2015) along the Digital Road
Soh, K., & Yecies, B. (2017) · Global Media and China · doi:10.1177/2059436416687105 · Cited by 12
Does who we are affect what we say and when? Investigating the impact of activity and connectivity on microbloggers' response to new products
Topaloglu, O., Dass, M., & Kumar, P. (2017) · Journal of Business Research · doi:10.1016/j.jbusres.2017.04.002 · Cited by 9
“Interestingly, strongly opinionated, negative information tends to be more viral (Godes et al., 2005), and negative evaluators have more credibility (Chevalier &Mayzlin, 2006) and are perceived to be more intelligent and competent (Hennig-Thurau et al., 2015).”
Background
The effect of temporal psychological distance on reliance on word-of-mouth for information about destination image attributes
Tan, W.-K. (2017) · Behaviour and Information Technology · doi:10.1080/0144929x.2017.1349179 · Cited by 12
Movie aspects, tweet metrics, and movie revenues: The influence of iOS vs. Android
Zimbra, D. K., Sarangee, K. R., & Jindal, R. P. (2017) · Decision Support Systems · doi:10.1016/j.dss.2017.08.002 · Cited by 12
The effect of consumer group breadth and depth on movie sales: the mediating effect of eWOM-to-viewing ratio
Lee, J., Lee, Y., & Park, C. H. (2021) · Asia Pacific Journal of Marketing and Logistics · doi:10.1108/apjml-08-2020-0560 · Cited by 9
Unlocking the power of peer influence: Strategies for bridging the adoption chasm in new product diffusion
Li, Z., Jiao, Y., Cheng, Y., Shen, Z., & Zhou, M. (2024) · Managerial and Decision Economics · doi:10.1002/mde.4379 · Cited by 12
Agility in marketing teams: An analysis of factors influencing the entry decision into a trendy social network
Oltra, I., Camarero, C., & Cabezudo, R. S. J. (2024) · Journal of Business Research · doi:10.1016/j.jbusres.2024.115054 · Cited by 15
There is business like show business! What marketing scholars and managers can learn from 40 years of entertainment science research
Behrens, R., Kupfer, A.-K., & Hennig‐Thurau, T. (2024) · Journal of the Academy of Marketing Science · doi:10.1007/s11747-024-01057-2 · Cited by 14
Self-citation
What Moves Players?
Drescher, C., Wallner, G., Kriglstein, S., Sifa, R., Drachen, A., & Pohl, M. (2018) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3173574.3174134 · Cited by 11
“Moreover, several studies have conﬁrmed an effect of electronic word-of-mouth on purchase decisions (see Rosario et al. [43] for an in-depth discussion) or early product adaption, for example, movies [23].”
Background
Brand entification as a post-anthropomorphic attribution among Twitter-using Millennials
Sashittal, H. C., & Jassawalla, A. R. (2019) · Marketing Intelligence & Planning · doi:10.1108/mip-10-2018-0446 · Cited by 11
Negative tweets and their impact on likelihood to recommend
Barhorst, J. B., Wilson, A. M., & Brooks, J. (2020) · Journal of Business Research · doi:10.1016/j.jbusres.2020.01.054 · Cited by 14
Unlocking value through an extended social media analytics framework
Wu, G. J., Xu, Z. “., Tajdini, S., Zhang, J., & Song, L. (2019) · Qualitative Market Research An International Journal · doi:10.1108/qmr-01-2017-0044 · Cited by 11
Marketing with Twitter
Soboleva, A., Burton, S., & Khan, A. (2015) · Advances in marketing, customer relationship management, and e-services book series · doi:10.4018/978-1-4666-8408-9.ch001 · Cited by 11
Exploring interaction differences in Microblogging Word of Mouth between entrepreneurial and conventional service providers
Aroean, L., Dousios, D., & Michaelidou, N. (2018) · Computers in Human Behavior · doi:10.1016/j.chb.2018.10.020 · Cited by 12
“Despite the increasingly vast usage of MWOM, research on the concept is still in its infancy (Hennig-Thurau et al. 2015).”
Background
APPLICATION OF VALUE STREAM MAPPING IN ORDER TO RECOGNIZE OPPORTUNITIES TO IMPROVE PROCESSES AND INCREASE BUSINESS PROCESS PERFORMANCE: A CASE STUDY FROM MANUFACTURING COMPANY IN THE CZECH REPUBLIC
Ondra, P. (2018) · International Bata Conference for Ph.D. Students and Young Researchers (DOKBAT) · doi:10.7441/dokbat.2018.18 · Cited by 9
The effect of TV drama piracy: An analysis of digital piracy users, internet buzz, and TV drama viewership
Kim, D., Park, K., & Bang, Y. (2022) · Information & Management · doi:10.1016/j.im.2022.103599 · Cited by 10
Machine Learning and Big Data
Kübler, R. V., Wieringa, J. E., & Pauwels, K. H. (2017) · International series in quantitative marketing · doi:10.1007/978-3-319-53469-5_19 · Cited by 11
Do we follow the crowd on social media? Experimental evidence on consumer attitudes in the contexts of NeWOM and firm crisis response
Suwandee, S., Lertwannawit, A., Racela, O. C., & Boonchoo, P. (2020) · Asia Pacific Journal of Marketing and Logistics · doi:10.1108/apjml-06-2019-0349 · Cited by 11
Linguistic drivers of misinformation diffusion on social media during the COVID-19 pandemic
Domenico, G. D., Tuan, A., & Visentin, M. (2021) · Italian Journal of Marketing · doi:10.1007/s43039-021-00026-9 · Cited by 10
Influence of social media posts on service performance
Jones, C. E., Waites, S. F., & Stevens, J. L. (2021) · Journal of Services Marketing · doi:10.1108/jsm-08-2020-0361 · Cited by 10
The Influence of Social Commerce on Consumer Decisions
Hettiarachchi, H. A. H., Wickramasinghe, C. N., & Ranathunga, S. (2018) · The International Technology Management Review · doi:10.2991/itmr.7.1.5 · Cited by 11
Elevating Customer Brand Advocacy Through Owned Social Media Content
Irawan, A., & Cheng, J. M.-S. (2025) · Journal of theoretical and applied electronic commerce research · doi:10.3390/jtaer20010010 · Cited by 9
Dynamics of pre-release consumer buzz: Driving communication, search, and participation for market performance
Schreiner, T. F., Mandler, T., van Heerde, H. J., & Haiduk, C. (2025) · Journal of the Academy of Marketing Science · doi:10.1007/s11747-024-01077-y · Cited by 10
Impact of Negative Tweets on Diverse Assets during Stressful Events: An Investigation through Time-Varying Connectedness
Balasudarsun, N. L., Ghosh, B., & Mahendran, S. (2022) · Journal of risk and financial management · doi:10.3390/jrfm15060260 · Cited by 9
An Exploration of the Dynamics Between Social Media and Box Office Performance
Feng, N., Shi, Y., Li, Y., Li, D., Zhang, J., & Li, M. (2023) · Information Systems Frontiers · doi:10.1007/s10796-023-10389-3 · Cited by 9
Post diversity: A new lens of social media WOM
Dong, X., Zhang, Z., Zhang, Y., Ao, X., & Tang, T. (2023) · Journal of Business Research · doi:10.1016/j.jbusres.2023.114329 · Cited by 9
Predicting Self‐declared Movie Watching Behavior Using Facebook Data and Information‐Fusion Sensitivity Analysis
Bogaert, M., Ballings, M., Bergmans, R. H., & den Poel, D. V. (2019) · Decision Sciences · doi:10.1111/deci.12406 · Cited by 9
Twitter en las campañas comunicativas de películas cinematográficas
Escolar, L. D., Osteso, J. M., & Claes, F. (2013) · El Profesional de la Informacion · doi:10.3145/epi.2013.mar.05 · Cited by 9
Spatial word of mouth: How user reviews in the metaverse shape the success of virtual reality apps
Kübler, R. V., & Hennig‐Thurau, T. (2025) · Journal of Retailing · doi:10.1016/j.jretai.2025.03.002 · Cited by 9
Self-citation
MGC, consumers’ engagement with MGC, WOM and consumers’ purchase intention: the case of Weibo platform
Lv, Z., Jin, Y., & Huang, J. (2019) · Information Systems and e-Business Management · doi:10.1007/s10257-019-00421-y · Cited by 8
Service encounter microblog word of mouth and its impact on firm reputation
Barhorst, J. B., Wilson, A. M., McLean, G., & Brooks, J. (2020) · Journal of Services Marketing · doi:10.1108/jsm-07-2019-0263 · Cited by 8
Differential impacts of social influence on initial and sustained participation in open source software projects
Yang, X. S., Li, X., Hu, D., & Wang, H. J. (2021) · Journal of the Association for Information Science and Technology · doi:10.1002/asi.24481 · Cited by 8
“This is consistent with the findings in Jansen et al. (2009) and Hennig-Thusrau et al. (2015), which suggest that micro-blogging offers a novel channel for WOM.”
Result
The message of Pope Francis in time of pandemic: Engagement and sentiment on Twitter
Martínez, V. M. P. (2022) · Church Communication and Culture · doi:10.1080/23753234.2022.2040372 · Cited by 8
Impact of e-WOM and WOM on Destination Image in Shopping Tourism Business
Martini, E. (2022) · Jurnal Dinamika Manajemen · doi:10.15294/jdm.v13i1.31819 · Cited by 8
“WOM and e-WOM are considered to have power, influence, and great impact because they have a persuasi-ve element concerning regular marketing efforts (Hennig-Thurau et al., 2015).”
Background
Flippern statt Bowling – Marketing im Zeitalter von Social Media
Hennig‐Thurau, T., Esche, J. V. D., & Bloching, B. (2012) · Marketing Review St Gallen · doi:10.1365/s11621-012-0145-2 · Cited by 8
Self-citation
Movie Production Efficiency Moderating between Online Word-of-Mouth and Subsequent Box Office Revenue
Lee, S., & Choeh, J. Y. (2020) · Sustainability · doi:10.3390/su12166602 · Cited by 9
How does film adaptation influence box office performance? An empirical analysis of science fiction films in Hollywood
Ryu, S. (2020) · Arts and the Market · doi:10.1108/aam-05-2019-0018 · Cited by 8
Prevision model and empirical test of box office results for sequels
Belvaux, B., & Mencarelli, R. (2021) · Journal of Business Research · doi:10.1016/j.jbusres.2021.03.008 · Cited by 14
The Effect of Social EWOM on Consumers’ Behaviour Patterns in the Fashion Sector
Vergura, D. T., Luceri, B., & Zerbini, C. (2021) · Springer eBooks · doi:10.1007/978-3-030-70324-0_10 · Cited by 9
Pilkada Amidst a Pandemic: The Role of The Electronic Word of Mouth in Political Brand and Voting Intention
Fitriani, L., Munandar, J. M., & Sumarwan, U. (2021) · Jurnal Ilmu Sosial dan Ilmu Politik · doi:10.22146/jsp.63986 · Cited by 8
“One of them is because relationship equity is more substantial when there is a relationship between customers/voters (Hennig-Thurau et al., 2015; Yuan et al., 2016).”
Background
Social network analysis of Twitter data from Pakistan during COVID-19
Batool, S. H., Ahmed, W., Mahmood, K., & Sharif, A. (2021) · Information Discovery and Delivery · doi:10.1108/idd-03-2021-0022 · Cited by 8
Predictive modeling for suspicious content identification on Twitter
Gangwar, S. S., Rathore, S. S., Chouhan, S. S., & Soni, S. (2022) · Social Network Analysis and Mining · doi:10.1007/s13278-022-00977-7 · Cited by 8
“Other studies have also reported similar findings (Hennig-Thurau et al. 2015).”
Applying Data Analytics to Social Media Advertising: A Twitter Advertising Campaign Case Study
Lou, S. (2017) · Journal of Advertising Education · doi:10.1177/109804821702100106 · Cited by 8
“A brand or product ad can become trendy in the blink of an eye on Twitter, which has a huge impact on consumer attitudes and purchase decisions (Hennig-Thurau et al., 2015; Jin & Phua, 2014).”
Background
Characterizing Transport Perception using Social Media
Vásquez-Henríquez, P., Graells-Garrido, E., & Caro, D. (2019) · ACM Web Science Conference (WebSci) · doi:10.1145/3292522.3326036 · Cited by 8
“Positive feelings are more associated to public transportation, contrary to the intuition that Twitter is used only for complains [13].”
Background
Signaling effects and the role of culture: movies in international auxiliary channels
Sinha, A., Gu, H., Kim, N., & Emile, R. (2019) · European Journal of Marketing · doi:10.1108/ejm-09-2017-0587 · Cited by 9
Emotions in Online Content DiffusionPreprint
Yu, Y., Huang, S., Liu, Y., & Tan, Y. (2020) · SSRN Electronic Journal · doi:10.2139/ssrn.3724011 · Cited by 8
Visual Aesthetic Quotient: Establishing the Effects of Computational Aesthetic Measures for Servicescape Design
Kumar, D. S., Sahadev, S., & Purani, K. (2023) · Journal of Service Research · doi:10.1177/10946705231205000 · Cited by 11
Conveying brand authenticity through television advertising in a transmedia world
Simon, F. L., & Bontour, A. (2023) · Journal of Marketing Management · doi:10.1080/0267257x.2023.2276249 · Cited by 10
Utilizing Ensemble Learning to enhance the detection of Malicious URLs in the Twitter dataset
Arora, R., Gupta, R., & Yadav, P. S. (2024) · International Conference on Innovative Practices in Technology and Management (ICIPTM) · doi:10.1109/iciptm59628.2024.10563278 · Cited by 7
“Similar results have also been observed by other investigations[3].”
Is This Movie a Milestone? Identification of the Most Influential Movies in the History of Cinema
Bioglio, L., & Pensa, R. G. (2017) · Studies in computational intelligence · doi:10.1007/978-3-319-72150-7_74 · Cited by 7
“The financial performance of a film is related to other factors besides its quality, such as advertising, marketing expenditures, production cost, presence of star performers in the cast [24], to be a sequel or part of a bigger franchise [10], or trends driven by word of mouth [16, 20].”
Background
Signaling Consumer Impressions with CSR Support on Social Media: The Roles of Industry Stigma and Consumer Self-Disclosure
Jeong, H. J., & Jiang, M. (2021) · Journal of Interactive Advertising · doi:10.1080/15252019.2021.2000524 · Cited by 7
What happens in Vegas stays on TripAdvisor? Computerized text analysis of narrativity in online consumer reviews
van Laer, T., Escalas, J. E., Ludwig, S., & van den Hende, E. A. (2017) · City Research Online (City University London) · Cited by 7
Social media followers as music fans: Analysis of a music poll event
Crosby, P., Lenten, L. J. A., & McKenzie, J. (2018) · Economics Letters · doi:10.1016/j.econlet.2018.04.024 · Cited by 7
Big Data Goes to Hollywood: The Emergence of Big Data as a Tool in the American Film Industry
Simon, F. M., & Schroeder, R. (2019) · Springer eBooks · doi:10.1007/978-94-024-1555-1_63 · Cited by 9
An Empirical Study on the Importance of Electronic Word of Mouth in the Concierge Industry
Makrides, A., Vrontis, D., & Christofi, M. (2019) · Advances in marketing, customer relationship management, and e-services book series · doi:10.4018/978-1-5225-8575-6.ch015 · Cited by 7
Effect of Online Word of Mouth on Product Sales: Focusing on Communication-Channel Characteristics
Jeon, J., Lim, T., Kim, B.-D., & Seok (2019) · ASIA MARKETING JOURNAL · doi:10.53728/2765-6500.1335 · Cited by 7
Dynamic box office forecasting based on microblog data
Chen, R., Xu, W., & Zhang, X. (2016) · Filomat · doi:10.2298/fil1615111c · Cited by 6
The influence of seamless shopping experience on customers’ word of mouth on social media
Li, J., & Chang, Y. (2023) · Journal of Services Marketing · doi:10.1108/jsm-04-2023-0135 · Cited by 10
The Effect of YouTube Reviews on Video Game Sales
Adıgüzel, F. (2021) · Journal of Business Research - Turk · doi:10.20491/isarder.2021.1249 · Cited by 9
The Relationship between Bullshit Receptivity and Willingness to Share Misinformation about Climate Change: The Moderating Role of Pregnancy
Lai, K., Yang, Y., Na, Y., & Wang, H. (2022) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph192416670 · Cited by 7
Information consistency as response to pre-launch advertising communications: The case of YouTube trailers
Kampani, J., & Nicolaides, C. (2023) · Frontiers in Communication · doi:10.3389/fcomm.2022.1022139 · Cited by 7
Leveraging Localized Social Media Insights for Early Warning Systems
Bernabé-Moreno, J., Tejeda-Lorente, Á., Porcel, C., & Herrera‐Viedma, E. (2014) · Procedia Computer Science · doi:10.1016/j.procs.2014.05.359 · Cited by 6
The Arab Image in Spanish Social Media: A Twitter Sentiment Analytics Approach
Mostafa, M. M., & Nebot, N. R. (2020) · Journal of Intercultural Communication Research · doi:10.1080/17475759.2020.1725592 · Cited by 6
“HennigThrau, Wiertz, and Feldhaus (2015) empirically evaluated the influence of microblogging word-of-mouth (MWOM) on sentiments expressed by consumers towards newly released movies.”
Background
Measuring the Impact of a Single Negative Customer Review on Online Search and Purchase DecisionsPreprint
Varga, M., & Albuquerque, P. (2019) · SSRN Electronic Journal · doi:10.2139/ssrn.3483429 · Cited by 7
Universal scaling behavior and Hawkes process of videos’ views on Bilibili.com
Dong, J., He, Y., Song, J.-Y., Ding, H., & Kong, Y.-X. (2022) · Frontiers in Physics · doi:10.3389/fphy.2022.1018704 · Cited by 5
The perception of useful information derived from Twitter: A survey of professionals
Söilen, K. S., Tontini, G., & Aagerup, U. (2017) · Journal of Intelligence Studies in Business · doi:10.37380/jisib.v7i3.279 · Cited by 5
Social Media Marketing Influencer: Literature Review on Promotional Strategies Using the Influence of Social Media Celebrities
Angraini, N. (2023) · International Journal of Economic Research and Financial Accounting (IJERFA) · doi:10.55227/ijerfa.v1i4.42 · Cited by 6
“…an effective electronic word-of-mouth (e-WOM) channel through active exchange of information in the form of social networks (Ananda et al., 2019; Hennig-Thurau et al., 2015; Seok et al., 2020; Sohaib et al., 2020) In line with this trend, brands within companies today recognize social media as…”
Background
When the brand is your bread and butter: review, synthesis, and directions for future exploration of salespeople-brand relationships
Beeler, L. L., Rouziou, M., & Gyomlai, M. D. (2023) · Journal of Personal Selling and Sales Management · doi:10.1080/08853134.2023.2252608 · Cited by 5
Accelerating the Social Media Process: The Impact of Internet Celebrity Word-of-Mouth Communication and Relationship Quality on Consumer Information Sharing
Liu, L., & Fang, C.-C. (2020) · International Journal of Human Resource Studies · doi:10.5296/ijhrs.v10i1.16043 · Cited by 5
Measuring Competition for Attention in Social Media: NWSL Players on TwitterPreprint
Rossi, F., & Rubera, G. (2018) · SSRN Electronic Journal · doi:10.2139/ssrn.3203807 · Cited by 5
“This research has shown that social activities by firms (e.g. Hewett et al., 2016; Kumar et al., 2016) and consumers (e.g. Hennig-Thurau et al., 2015; Trusov et al., 2009) have a positive effect on off-line consumer purchase behavior.”
Kewirausahaan Berbasis UMKMPreprint
Anwar, A., Suhadarliyah, Marıana, M., Rahmawati, C. H. T., Amelia, D., Fariantin, E., Murjana, I. M., Faisol, Sushardi, Gunawan, C., et al. (2023) · doi:10.31237/osf.io/mpc3t · Cited by 5
An overview, empirical application, and discussion of the future research potential of Q&A models in B2B contexts
Lawrence, B., Wang, Y., Pan, Y., & Alexander, C. S. (2022) · Industrial Marketing Management · doi:10.1016/j.indmarman.2022.10.002 · Cited by 4
The More They Engage, the More They Consume: A Meta‐Analysis of the Impact of Brand's Owned Social Media User Engagement on Sales
Yin, T., Hao, A. W., Chu, T., & Fu, X. (2025) · International Journal of Consumer Studies · doi:10.1111/ijcs.70090 · Cited by 6
To syndicate or not: a replication and extension about the influence of business angels’ personality traits on syndication using Twitter data
Altmeier, A., & Fisch, C. O. (2024) · Management Review Quarterly · doi:10.1007/s11301-024-00410-7 · Cited by 4
A social influence view of the internationalization of cultural products
Huang, X., Fan, D., & Soo, C. W. (2025) · Journal of International Business Studies · doi:10.1057/s41267-025-00797-9 · Cited by 4
Exploring determinants of digital music success in South Korea
Lee, M., & Kim, H.-J. (2022) · Electronic Commerce Research · doi:10.1007/s10660-022-09573-5 · Cited by 4
“Hennig-Thurau et al. [47] found among movie consumers that microblogging word of mouth shared through Twitter and similar services could affect early product adoption behavior by immediately disseminating quality assessments after purchase.”
21st Century Learners’ Social Media Utilization: An Interplay of Communication Theories
Fortuna, R. S. (2023) · International Journal of Research Publication and Reviews · doi:10.55248/gengpi.4.723.49861 · Cited by 9
Exploring the evolution of consumer attitude from followers to brand enthusiasts: an experiential learning perspective on social media
Wei, J. (2024) · Qualitative Market Research · doi:10.1108/qmr-04-2023-0055 · Cited by 5
Framing industrial decarbonization technologies in the public sphere: narratives from the digital ‘town square’ in the United Kingdom
Herman, K. S., Chen, C., & Sovacool, B. K. (2024) · Environmental Research Communications · doi:10.1088/2515-7620/ad9891 · Cited by 4
Whom do I Choose to Diffuse Information onTwitter? An Agent-Based Model Approach
Plaza, N. H., Leger, P., & López, M. (2019) · IEEE Latin America Transactions · doi:10.1109/tla.2019.8891933 · Cited by 4
“[6] T.”
Do Critical Reviews Affect Box Office Revenues Through Community Engagement and User Reviews?
Chiu, Y.-L., Du, J., Sun, Y., & Wang, J. (2022) · Frontiers in Psychology · doi:10.3389/fpsyg.2022.900360 · Cited by 4
Clash of reputation and status in online reviews
Mun, H., Lee, C. H., Jung, H.-J., & Ceran, Y. (2022) · Information Technology and Management · doi:10.1007/s10799-022-00374-8 · Cited by 4
“As consumers informally propagate signals to the market through e-WoM about the quality of products and services [28], companies also use e-WoM as a powerful tool to track customer sentiment [66].”
Background
Analyzing user opinions on content and social media apps to online marketing: Evidence from Albania
Vukatana, K., Mulla, G., Liu, R., & Mitre, X. (2022) · Journal of Eastern European and Central Asian Research (JEECAR) · doi:10.15549/jeecar.v9i6.965 · Cited by 4
Promotion strategies in consumer paradox towards with word of mouth brand equity
Jalees, T., Alam, S. H., Zaman, S. I., & Qabool, S. (2023) · ReMark - Revista Brasileira de Marketing · doi:10.5585/remark.v22i2.20093 · Cited by 4
Reappraising the roles of review valence and conflict in online relationships
Liu, R., Ford, J. B., Zhang, W., & Bonnici, J. L. (2023) · Journal of Business Research · doi:10.1016/j.jbusres.2023.114187 · Cited by 5
Theaters, social media, and streams: Evaluating social word-of-mouth patterns of pandemic-era blockbuster films on Twitter
DeFelice, C., & Porter, L. (2024) · Convergence The International Journal of Research into New Media Technologies · doi:10.1177/13548565241236441 · Cited by 4
Information vs Interaction: An Alternative User Ranking Model for Social Networks
Xie, W., Hoang, A.-P., Zhu, F., & Lim, E. (2013) · Lecture notes in computer science · doi:10.1007/978-3-319-03260-3_20 · Cited by 4
How Social Media Can Afford Engagement Processes
Zeng, X., McKenna, B., Richter, S., & Cai, W. (2019) · Lecture notes in business information processing · doi:10.1007/978-3-030-11395-7_23 · Cited by 5
Hashtag-Based Tweet Expansion for Improved Topic Modeling
Kumar, D., Singh, L. G., & Singh, S. R. (2022) · IEEE Transactions on Computational Social Systems · doi:10.1109/tcss.2022.3171206 · Cited by 5
“…a prominent platform of information dissemination for various activities such as protests [1], attacks [2]–[4], natural disasters [5]–[8], movie releases [9], [10], elections [11]–[14], pandemics [15]–[17], topic modeling on Twitter data has become an important task for social media data analysts.”
Background
The paradox of product scarcity: Catalyzing the speed of innovation diffusion
Pathak, S., & Balakrishnan, P. V. S. (2024) · Journal of the Academy of Marketing Science · doi:10.1007/s11747-024-01060-7 · Cited by 3
Enhancing Marketing Education through Social Media: an Experiential Learning Approach
Wei, J. (2025) · Marketing Education Review · doi:10.1080/10528008.2025.2573807 · Cited by 3
Prerelease Consumer Buzz: Current State of Research and Future Research Ideas
Meng, Q., & He, Y. (2022) · Journal of Sensors · doi:10.1155/2022/2948653 · Cited by 3
Retracted
Proceedings of the Conference on Managing Tourism Across Continents: Volume 2
Altınay, L., Karatepe, O. M., & Tuna, M. (2022) · MTCON ... proceedings · doi:10.5038/2834-4731-v2 · Cited by 2
Research on Dynamic Pricing and Long-Term Profit of Companies under Influence of Word of Mouth
Han, F., Guo, Y., Yu, H., & Li, B. (2024) · Journal of theoretical and applied electronic commerce research · doi:10.3390/jtaer19030105 · Cited by 4

Authors: Hennig-Thurau, T., Wiertz, C., & Feldhaus, F.
Affiliations: City, University of London (GB)
University of Münster (DE)
Corresponding author: Wiertz, Caroline
Venue: Journal of the Academy of Marketing Science
Publisher: Springer Science and Business Media LLC
Published: 2014-06-01
Volume: 43
Issue: 3
Pages: 375-394
ISSN: 0092-0703 (ISSN-L)
1552-7824
DOI: 10.1007/s11747-014-0388-3
OpenAlex: W3124914435
Cited by: 434
References: 54
Citations by year: 2026: 13 · 2025: 28 · 2024: 33 · 2023: 38 · 2022: 47 · 2021: 44 · 2020: 38 · 2019: 48 · 2018: 54 · 2017: 49 · 2016: 19 · 2015: 10 · 2014: 4
FWCI: 89.02
Type: journal article
Language: en
Open access: green
doi.org
Licence: www.springer.com/tdm (tdm)
Locations: Journal of the Academy of Marketing Science (publishedVersion)
SSRN Electronic Journal (acceptedVersion)
City Research Online (City University London) (acceptedVersion)
Topics: Social Sciences › Business, Management and Accounting › Marketing › Digital Marketing and Social Media
Social Sciences › Business, Management and Accounting › Marketing › Consumer Behavior and Marketing Influence
Social Sciences › Communication › Media and Digital Communication
Keywords: negativity bias, purchase decision

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

Does Twitter matter? The impact of microblogging word of mouth on consumers’ adoption of new movies

Overview

Integrity signals

Verification

Claims the paper makes

Claims other papers make about this one

Self-check

Citations

Cites

Cited by

Related

Metadata

Record

About these checks