65,632 research outputs found
Is there Still a PR Problem Online? Exploring the Effects of Different Sources and Crisis Response Strategies in Online Crisis Communication Via Social Media
This study examined the effects of source and crisis response strategy on crisis communication outcomes in the context of social media. A 3 (source: organization, CEO, or customer) × 2 (strategy: accommodative or defensive) × 2 (crisis type: airline crash or bank hacking) mixed experimental study was conducted with 391 participants. The organizational sources were more likely to be perceived as more credible than the non-organizational sources. In particular, the CEO appeared to be the most trustworthy and credible source in delivering crisis messages. The path analysis indicated that perceived source credibility mediated the effect of source on reputation and behavioral intentions. This mediation appeared to be contingent on the type of crisis response strategy
Investigation on the Tachyonic Neutrino
According to the experimental data, it is still controversial whether the
neutrinos, especially the electron-neutrino and muon-neutrino, can be
considered as the fermionic spinorial tachyons, and there is still no reliable
report on the existence of the right-handed neutrinos. In this letter, we show
that the neutrinos with the single handedness can not be the tachyons, but only
those of the both handedness can be. Several implications of this result are
discussed.Comment: 13 pages, latex, no figure
Iteratively Reweighted Least Squares Algorithms for L1-Norm Principal Component Analysis
Principal component analysis (PCA) is often used to reduce the dimension of
data by selecting a few orthonormal vectors that explain most of the variance
structure of the data. L1 PCA uses the L1 norm to measure error, whereas the
conventional PCA uses the L2 norm. For the L1 PCA problem minimizing the
fitting error of the reconstructed data, we propose an exact reweighted and an
approximate algorithm based on iteratively reweighted least squares. We provide
convergence analyses, and compare their performance against benchmark
algorithms in the literature. The computational experiment shows that the
proposed algorithms consistently perform best
Towards Interactive Logic Programming
Linear logic programming uses provability as the basis for computation. In
the operational semantics based on provability, executing the
additive-conjunctive goal from a program simply terminates
with a success if both and are solvable from . This is an
unsatisfactory situation, as a central action of \& -- the action of choosing
either or by the user -- is missing in this semantics.
We propose to modify the operational semantics above to allow for more active
participation from the user. We illustrate our idea via muProlog, an extension
of Prolog with additive goals.Comment: 8 pages. It describes two execution models for interactive logic
programmin
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