Experiments show that news frames can shift public opinion, but whether and how those effects persist, accumulate, or reverse over time remains poorly understood. Lecheler and de Vreese (2013) exposed participants to risk and opportunity frames about European Union (EU) enlargement and re-measured opinions up to two weeks later, with re-exposure to the same (repetitive) or an opposing (competitive) frame: repetition strengthened effects only at short delays, competitive framing was dominated by recency, and political knowledge moderated both patterns. The study could not say why, because the candidate psychological mechanisms (accessibility, learning, online judgment formation) were not measured, the measurement delays were chosen without theoretical guidance, and the interaction between frame valence and timing was unexplained. A decade of follow-up work — the authors' own multi-exposure experiment (2015) and systematic review (2016), longitudinal design extensions showing recency dominance and issue-familiarity moderation (2024), durability experiments in adjacent domains, and real-world panel studies questioning external validity — has added fragments but no systematic account. The open problem is an integrated, theory-guided characterization of the temporal dynamics of news framing effects: estimated decay curves for single, repetitive, and competitive exposure across principled time lags; empirical discrimination among the candidate mechanisms; and the boundary conditions — frame valence, issue salience, prior attitudes, and number of exposures — that determine when framing effects are lasting, transitory, or fleeting.

Background

A news frame is the pattern of selection and emphasis in news coverage that highlights some aspects of an issue and pushes others into the background, thereby suggesting how audiences should evaluate it (Entman, 1993). A framing effect is a change in readers' or viewers' opinions, attitudes, or judgments caused by exposure to one frame rather than another. Most framing experiments measure effects only immediately after exposure, while real citizens encounter news frames repeatedly, in competition with opposing frames, and with days or weeks in between exposures. Whether experimentally induced framing effects survive this time course decides whether framing theory can speak to real-world opinion formation at all, which is why survey-experiment methodologists have insisted that duration be treated as evidence about an effect's real-world relevance (Gaines, Kuklinski, & Quirk, 2007). Before 2013, the few duration studies disagreed. Tewksbury, Jones, Peske, Raymond, and Vig (2000) found that frames still shaped perceptions of a local policy issue three weeks after exposure; Druckman and Nelson (2003) reported that their framing effects had dissipated after ten days; de Vreese (2004), in a two-wave experiment, found effects muted after two weeks. None of these studies explained why a particular delay was chosen. Competitive framing — exposing audiences to frames on opposite sides of an issue — had been studied mostly with simultaneous presentation (Chong & Druckman, 2007), and its dynamic extension suggested that citizens remain most susceptible to the most recent frame they encounter, even after earlier exposure to an alternative frame (Chong & Druckman, 2010). Lecheler and de Vreese (2013) report a framing experiment (N = 1,324) on European Union (EU) enlargement, a deliberately low-salience issue, using an economic risk frame and an economic opportunity frame. Opinions were measured immediately after a first exposure and again at one of four delayed points — 15 minutes, one day, one week, or two weeks later — and between measurements participants were re-exposed either to the same frame (repetitive framing) or to the opposing frame (competitive framing). A recency effect here means that the frame encountered latest dominates opinion; an accumulation effect means that repeated exposure to the same frame strengthens and stabilizes its effect. Three findings emerged: repetitive exposure did not systematically strengthen opinions, but effects were stronger when the delay between the two exposures was short; competitive framing produced recency effects — the latest frame dominated — except when the second frame followed within a day; and politically knowledgeable participants were less prone to recency effects but showed more signs of cumulative framing. Theoretically, three psychological processes could generate these dynamics and the study could not discriminate among them: accessibility, the memory-based mechanism in which a frame temporarily raises the readiness with which frame-consistent considerations come to mind, a readiness that decays with time since activation; learning, in which repeated exposure builds a durable store of frame-relevant considerations; and online judgment formation, the proposal from research on candidate evaluation that people update a running evaluative tally at each exposure while later recalling little of the specific content (Lodge, Steenbergen, & Brau, 1995). The authors' discussion explicitly lists what remains unresolved: the mechanisms; a systematic mapping of effect decay for repetitive and competitive framing, since the chosen delays were arbitrary and there was no theoretical guidance on when to re-measure; the unexplained asymmetry whereby recency effects were stronger when an opportunity frame followed a risk frame than the reverse; moderators beyond political knowledge, such as prior attitudes, information processing styles, and need for cognition (a stable individual difference in the tendency to enjoy and engage in effortful thinking); the effects of more than two exposures or continuous exposure, including possible ceiling effects or diminishing returns; and generalization to other frame types such as equivalency frames (logically equivalent rewordings of the same choice or issue, as opposed to the emphasis-based news frames studied here), to salient, contested issues, and to fragmented, partisan media environments.

Problem Statement

The problem is to produce an integrated, theory-guided account of the temporal dynamics of news framing effects — how effects from single, repeated, and competing frames emerge, accumulate, and decay over time — together with the psychological mechanisms that generate those dynamics. The research target is to (1) estimate the decay curves of framing effects on opinions (and ideally related attitudes, emotions, and behavioral intentions) for single, repetitive, and competitive exposure across delays chosen on theoretical grounds rather than convenience, so that one can state with evidence when a framing effect is lasting, transitory, or fleeting — a classification that survey-experiment methodologists treat as itself evidence about an effect's real-world relevance (Gaines, Kuklinski, and Quirk, 2007); (2) empirically discriminate among the candidate mechanisms — accessibility decay, learning-based accumulation of frame-relevant considerations, and online judgment formation — using process-level evidence rather than opinion trajectories alone; and (3) specify the boundary conditions of accumulation and recency, including the interaction between frame valence and timing (why recency dominates competitive framing and why it is stronger for some frame transitions than others), the roles of issue salience or familiarity, prior attitudes, and processing styles such as need for cognition (a stable individual difference in the tendency to enjoy and engage in effortful thinking), the effects of more than two or continuous exposures including possible ceiling effects or diminishing returns, and whether the same dynamics hold for other frame types such as equivalency frames (logically equivalent rewordings of the same choice or issue, as opposed to the emphasis-based news frames studied here) and in realistic, fragmented, partisan media environments. The decay structure, its mechanisms, and the boundary conditions of accumulation and recency must be established well enough that defensible predictions about effect duration follow for new issues, frames, and exposure schedules, not only for a single issue.

References

  1. Lecheler, S., & de Vreese, C. H. (2013). What a difference a day makes? The effects of repetitive and competitive news framing over time. Communication Research, 40(2), 147–175. DOI: 10.1177/0093650212470688. https://doi.org/10.1177/0093650212470688
  2. Entman, R. M. (1993). Framing: Toward clarification of a fractured paradigm. Journal of Communication, 43(4), 51–58. DOI: 10.1111/j.1460-2466.1993.tb01304.x. https://doi.org/10.1111/j.1460-2466.1993.tb01304.x
  3. Tewksbury, D., Jones, J., Peske, M. W., Raymond, A., & Vig, W. (2000). The interaction of news and advocate frames: Manipulating audience perceptions of a local public policy issue. Journalism & Mass Communication Quarterly, 77(4), 804–829. DOI: 10.1177/107769900007700406. https://doi.org/10.1177/107769900007700406
  4. Druckman, J. N., & Nelson, K. R. (2003). Framing and deliberation: How citizens' conversations limit elite influence. American Journal of Political Science, 47(4), 729–745. DOI: 10.1111/1540-5907.00051. https://doi.org/10.1111/1540-5907.00051
  5. de Vreese, C. H. (2004). The effects of strategic news on political cynicism, issue evaluations, and policy support: A two-wave experiment. Mass Communication & Society, 7(2), 191–214. DOI: 10.1207/s15327825mcs0702_4. https://doi.org/10.1207/s15327825mcs0702_4
  6. Chong, D., & Druckman, J. N. (2007). A theory of framing and opinion formation in competitive elite environments. Journal of Communication, 57(1), 99–118. DOI: 10.1111/j.1460-2466.2006.00331.x. https://doi.org/10.1111/j.1460-2466.2006.00331.x
  7. Gaines, B. J., Kuklinski, J. H., & Quirk, P. J. (2007). The logic of the survey experiment reexamined. Political Analysis, 15(1), 1–20. DOI: 10.1093/pan/mpl008. https://doi.org/10.1093/pan/mpl008
  8. Lodge, M., Steenbergen, M. R., & Brau, S. (1995). The responsive voter: Campaign information and the dynamics of candidate evaluation. American Political Science Review, 89(2), 309–326. DOI: 10.2307/2082427. https://doi.org/10.2307/2082427
  9. Baden, C., & Lecheler, S. (2012). Fleeting, fading, or far-reaching? A knowledge-based model of the persistence of framing effects. Communication Theory, 22(4), 359–382. DOI: 10.1111/j.1468-2885.2012.01413.x. https://doi.org/10.1111/j.1468-2885.2012.01413.x
  10. Chong, D., & Druckman, J. N. (2010). Dynamic public opinion: Communication effects over time. American Political Science Review, 104(4), 663–680. DOI: 10.1017/s0003055410000493. https://doi.org/10.1017/s0003055410000493
  11. Lecheler, S., Keer, M., Schuck, A. R. T., & Hänggli, R. (2015). The effects of repetitive news framing on political opinions over time. Communication Monographs, 82(3), 339–358. DOI: 10.1080/03637751.2014.994646. https://doi.org/10.1080/03637751.2014.994646
  12. Lecheler, S., & de Vreese, C. H. (2016). How long do news framing effects last? A systematic review of longitudinal studies. Annals of the International Communication Association, 40(1), 3–30. DOI: 10.1080/23808985.2015.11735254. https://doi.org/10.1080/23808985.2015.11735254
  13. Lecheler, S., & de Vreese, C. H. (2018). The duration of news framing effects … how long? In News framing effects (pp. 75–89). Routledge. DOI: 10.4324/9781315208077-6. https://doi.org/10.4324/9781315208077-6
  14. Nai, A., & Seeberg, H. B. (2018). A series of persuasive events. Sequencing effects of negative and positive messages on party evaluations and perceptions of negativity. Journal of Marketing Communications, 24(4), 412–432. DOI: 10.1080/13527266.2018.1428672. https://doi.org/10.1080/13527266.2018.1428672
  15. Liu, J., Lee, B., McLeod, D. M., & Choung, H. (2019). Effects of frame repetition through cues in the online environment. Mass Communication & Society, 22(4), 447–465. DOI: 10.1080/15205436.2018.1560475. https://doi.org/10.1080/15205436.2018.1560475
  16. Arendt, F., Forrai, M., & Mestas, M. (2023). News framing and preference-based reinforcement: Evidence from a real framing environment during the COVID-19 pandemic. Communication Research, 50(2), 179–204. DOI: 10.1177/00936502221102104. https://doi.org/10.1177/00936502221102104
  17. Gustafson, A., Goldberg, M. H., Bergquist, P., Lacroix, K., Rosenthal, S. A., & Leiserowitz, A. (2022). The durable, bipartisan effects of emphasizing the cost savings of renewable energy. Nature Energy, 7(11), 1023–1030. DOI: 10.1038/s41560-022-01099-2. https://doi.org/10.1038/s41560-022-01099-2
  18. Thomas, F. (2022). A methodological framework for analyzing the appearance and duration of media effects. Journal of Communication, 72(3), 401–428. DOI: 10.1093/joc/jqac013. https://doi.org/10.1093/joc/jqac013
  19. Guo, L., Su, C. C., & Chen, H.-T. (2025). Do news frames really have some influence in the real world? A computational analysis of cumulative framing effects on emotions and opinions about immigration. The International Journal of Press/Politics, 30(1), 211–231. DOI: 10.1177/19401612231204535. https://doi.org/10.1177/19401612231204535
  20. Shehata, A., Glogger, I., Djerf-Pierre, M., Zuiderveld, M., Åhrén, C., & Hedenus, F. (2024). Same news frames, different issues: Issue familiarity and dynamic framing effects. Communication Research, 51(8), 1008–1032. DOI: 10.1177/00936502241259690. https://doi.org/10.1177/00936502241259690
  21. Glogger, I. (2025). The role of audiovisuals in counter-framing dynamics: A longitudinal experiment on causal responsibility attribution. Mass Communication & Society, 28(4), 658–682. DOI: 10.1080/15205436.2024.2409134. https://doi.org/10.1080/15205436.2024.2409134
  22. Berk, N. (2025). The impact of media framing in complex information environments. Political Communication, 42(5), 757–773. DOI: 10.1080/10584609.2025.2456519. https://doi.org/10.1080/10584609.2025.2456519
  23. Baum, M. A., Berinsky, A. J., de Benedictis-Kessner, J., Jeong, J., Markovich, Z., & Yamamoto, T. (2026). Dynamic persuasion: Decay and accumulation of partisan media persuasion. Political Science Research and Methods, 1–17. DOI: 10.1017/psrm.2026.10095. https://doi.org/10.1017/psrm.2026.10095