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Fig 1.

Snapshot of the experimental setup from a participant’s first-person view.

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Table 1.

Mean results (with SEs) by the interaction between news and tweet valences.

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Table 1 Expand

Table 2.

LMM analysis results for emotional measures.

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Table 2 Expand

Table 3.

LMM analysis results for tweet-related attentional measures.

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Table 3 Expand

Fig 2.

Gaze allocation and attention results for positive and negative tweets.

(a) Tweet attention and tablet gaze allocation self-reports. (b) Behavioral attention measure results: tracked gaze allocation on tablet and tweet recognition memory. (c) Average time course for tracked gaze dwell time between television (news broadcasts) and tablet (Twitter messages). The time course has been smoothed with a 5-s moving average filter for illustration (analyses were based on average values). Error bars represent one SEM.

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Fig 2 Expand

Table 4.

LMM analysis results for news-related attentional measures.

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Table 4 Expand

Fig 3.

News attention self-report and recognition memory results by tweet condition.

Significant differences between conditions are marked with an asterisk (‘*’). Error bars represent one SEM.

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Fig 3 Expand

Fig 4.

Psychophysiological activations by tweet condition.

Average time courses for (a) cardiac responses (IBI), (b) skin conductance responses (iSCR), (c) facial electromyography responses at zygomaticus major location (EMG-ZM/OO), and (d) facial electromyography responses at corrugator supercilii (CS) location. Facial EMG activations at orbicularis oculi (OO) location were almost identical to those of EMG-ZM and are not presented separately. Time courses are presented for 5-s epochs. Black bars at the upper corners represent ± 1 SEM.

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