Topic related to questionable conference invitations.
Today I received an email, which I shortened:
"I am Jennifer Ballard, Editorial Assistant for Google News contacting you with the reference from our Editorial Board. We are looking for experts like you in the Scientific field. Many top Researchers are going unnoticed due to predatory journals are taking up the lead. You would get nothing but a published article in that journal and they don't add any value to your hard work.
We at Google News (Partnered Company) are going to take your research to the world by publishing your opinion article in our news website. .......
Google News receives millions of visitors daily from all over the world, and it is one of the top news websites in America. If you think that your research work is not getting enough exposure, we can help......
This will help you in getting high impact factor and more citations for your articles and also increases your credibility.
If you are interested in our proposal, just send us your articles or published article link, so that we can send you more details. Nothing is more important to us than the satisfaction of those we work with. I’m sure we will live up to your expectations.
The package includes publishing in Google News along with 450+ major news outlets. Here I am attaching you report of 450+ major news outlets in which your work gets published.
All the best
Jennifer Ballard, | Editorial Assistant, AND Media Ltd (Google Partner Network) 3164 Christie Way Salem, Massachusetts 01970, USA"
Red alerts:
email address: [email protected]
questionable English
"package" -> cost?
"Google Partner Network"
nothing was attached.
I googled "oasispub.co" and bingo:
http://flakyj.blogspot.com/2018/07/and-media-google-partner-network.html. This scam is apparently very new.
To answer my own question: do not fall for it.
Thank you, your list of red alerts is very appropriate. When the first cases of messages of this kind began to arrive, I often tried to find out by indirect means if any had at least some valid information. I did it because I received questions from other researchers who had doubts about those proposals and I did not want to answer without being certain. That was a big waste of time. Now, when I see consistent clues of that type in a message (if it happens to pass the Bayesian spam filter), I simply mark it as spam to improve filter training.
Do not accept this "help" at any cost. See the URL cited above -- http://flakyj.blogspot.com/2018/07/and-media-google-partner-network.html
Thanks for the alert I also recieved the email and used a similar approach. thought i would check how widespread this one is and "bingo".
appreciate your self answered question :)
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