When a situation could lead to multiple mutually exclusive consequences, recent research shows that people automatically generate multiple predictive inferences in memory. Several theoretical mechanisms have been proposed to account for the generation of predictive inferences. One hypothesis is that inferences are minimally encoded, represented…

Informed by a theoretical model of satirical uptake, this study investigated processing behavior and comprehension of satirical news articles. Reading times for segments of minimally different satirical and non-satirical texts were collected using within-subjects (Experiment 1) and between-subjects (Experiment 2) designs. Segment reading times and…

There is accumulating evidence that readers continually evaluate the consistency, congruence, and coherence of text by processes of validation. Validation is initiated immediately on stimulus presentation, may proceed nonstrategically, and serves as a criterion for representational updating. However, validation exhibits a variety of deficiencies.…

The study of word-to-text integration (WTI) provides a window on incremental processes that link the meaning of a word to the preceding text. We review a research program using event-related potential indicators of WTI at sentence beginnings, thus localizing sources of integration to prior text meaning independently of the current sentence. The…

Individual differences in reading skill have frequently been related to variability in working memory capacity; however, it is unclear what drives this relation. The present study investigated two attentional control mechanisms that may contribute to this relation: proactive control and online filtering. To examine how the neural mechanisms of…

Comprehension substantially benefits from attending to, thinking about, and mentally representing the sources of any presented information. Such processes require mental effort and unfortunately people do not always engage in such activities. The current article presents a nascent, evolving model of discourse comprehension that formalizes…

We propose that machine-learned computational models (MLCMs), in which the model parameters and perhaps even structure are learned from data, can complement extant approaches to the study of text and discourse. Such models are particularly useful when theoretical understanding is insufficient, when the data are rife with nonlinearities and…

In this experiment, we contrasted two instructions in which the focus of summary writing was varied. We predicted that students would better understand a scientific text when they learn to focus their summaries on the referential content rather than on the hierarchical structure of the text. In a 2 × 2 factorial experiment, 85 Grade-10 students…

Rereading can improve the accuracy of people's predictions of future test performance for text material. This research investigated this rereading effect by evaluating 2 predictions from the levels-of-disruption hypothesis: (a) The rereading effect will occur when the criterion test measures comprehension of the text, and (b) the rereading effect…

It has been suggested that predictive and bridging inferences are generated at different levels of text representation: predictive inferences at a reader's situation model and bridging inferences at a reader's propositional textbase (Fincher-Kiefer, 1993, 1996; McDaniel, Schmalhofer, & Keefe, 2001; Schmalhofer, McDaniel, & Keefe, 2002). Recently,…

Although some types of inferences are mandatory for readers, predictive inferences (inferences for what will happen next) are generally considered elaborative or optional. Three experiments measuring probe word lexical decision latencies produced evidence for the online generation of predictive inferences during narrative text comprehension.…